class UI_W(QWidget):
"""
Widget for entering integer and fractional bits. The result can be read out
via the attributes `self.WI`, `self.WF` and `self.W`.
The constructor accepts a dictionary for initial widget settings.
The following keys are defined; default values are used for missing keys:
'wdg_name' : 'ui_w' # widget name
'label' : 'WI.WF' # widget text label
'visible' : True # Is widget visible?
'enabled' : True # Is widget enabled?
'fractional' : True # Display WF, otherwise WF=0
'lbl_sep' : '.' # label between WI and WF field
'max_led_width' : 30 # max. length of lineedit field
'WI' : 0 # number of frac. *bits*
'WI_len' : 2 # max. number of integer *digits*
'tip_WI' : 'Number of integer bits' # Mouse-over tooltip
'WF' : 15 # number of frac. *bits*
'WF_len' : 2 # max. number of frac. *digits*
'tip_WF' : 'Number of frac. bits' # Mouse-over tooltip
'lock_visible' : False # Pushbutton for locking visible
'tip_lock' : 'Lock input/output quant.'# Tooltip for lock push button
'combo_visible' : False # Enable integrated combo widget
'combo_items' : ['auto', 'full', 'man'] # Combo selection
'tip_combo' : 'Calculate Acc. width.' # tooltip for combo
"""
# sig_rx = pyqtSignal(object) # incoming,
sig_tx = pyqtSignal(object) # outcgoing
from pyfda.libs.pyfda_qt_lib import emit
def __init__(self, parent, q_dict, **kwargs):
super(UI_W, self).__init__(parent)
self.q_dict = q_dict # pass a dict with initial settings for construction
self._construct_UI(**kwargs)
self.ui2dict(s='init') # initialize the class attributes
def _construct_UI(self, **kwargs):
"""
Construct widget from quantization dict, individual settings and
the default dict below """
# default settings
dict_ui = {
'wdg_name': 'ui_w',
'label': 'WI.WF',
'lbl_sep': '.',
'max_led_width': 30,
'WI': 0,
'WI_len': 2,
'tip_WI': 'Number of integer bits',
'WF': 15,
'WF_len': 2,
'tip_WF': 'Number of fractional bits',
'enabled': True,
'visible': True,
'fractional': True,
'combo_visible': False,
'combo_items': ['auto', 'full', 'man'],
'tip_combo': 'Calculate Acc. width.',
'lock_visible': False,
'tip_lock': 'Lock input/output quantization.'
} #: default values
if self.q_dict:
dict_ui.update(self.q_dict)
for k, v in kwargs.items():
if k not in dict_ui:
logger.warning("Unknown key {0}".format(k))
else:
dict_ui.update({k: v})
self.wdg_name = dict_ui['wdg_name']
if not dict_ui['fractional']:
dict_ui['WF'] = 0
self.WI = dict_ui['WI']
self.WF = dict_ui['WF']
self.W = int(self.WI + self.WF + 1)
if self.q_dict:
self.q_dict.update({'WI': self.WI, 'WF': self.WF, 'W': self.W})
else:
self.q_dict = {'WI': self.WI, 'WF': self.WF, 'W': self.W}
lblW = QLabel(to_html(dict_ui['label'], frmt='bi'), self)
self.cmbW = QComboBox(self)
self.cmbW.addItems(dict_ui['combo_items'])
self.cmbW.setVisible(dict_ui['combo_visible'])
self.cmbW.setToolTip(dict_ui['tip_combo'])
self.cmbW.setObjectName("cmbW")
self.butLock = QPushButton(self)
self.butLock.setCheckable(True)
self.butLock.setChecked(False)
self.butLock.setVisible(dict_ui['lock_visible'])
self.butLock.setToolTip(dict_ui['tip_lock'])
self.ledWI = QLineEdit(self)
self.ledWI.setToolTip(dict_ui['tip_WI'])
self.ledWI.setMaxLength(dict_ui['WI_len']) # maximum of 2 digits
self.ledWI.setFixedWidth(
dict_ui['max_led_width']) # width of lineedit in points
self.ledWI.setObjectName("WI")
lblDot = QLabel(dict_ui['lbl_sep'], self)
lblDot.setVisible(dict_ui['fractional'])
self.ledWF = QLineEdit(self)
self.ledWF.setToolTip(dict_ui['tip_WF'])
self.ledWF.setMaxLength(dict_ui['WI_len']) # maximum of 2 digits
self.ledWF.setFixedWidth(
dict_ui['max_led_width']) # width of lineedit in points
self.ledWF.setVisible(dict_ui['fractional'])
self.ledWF.setObjectName("WF")
layH = QHBoxLayout()
layH.addWidget(lblW)
layH.addStretch()
layH.addWidget(self.cmbW)
layH.addWidget(self.butLock)
layH.addWidget(self.ledWI)
layH.addWidget(lblDot)
layH.addWidget(self.ledWF)
layH.setContentsMargins(0, 0, 0, 0)
frmMain = QFrame(self)
frmMain.setLayout(layH)
layVMain = QVBoxLayout() # Widget main layout
layVMain.addWidget(frmMain)
layVMain.setContentsMargins(0, 5, 0, 0) # *params['wdg_margins'])
self.setLayout(layVMain)
# ----------------------------------------------------------------------
# INITIAL SETTINGS
# ----------------------------------------------------------------------
self.ledWI.setText(qstr(dict_ui['WI']))
self.ledWF.setText(qstr(dict_ui['WF']))
frmMain.setEnabled(dict_ui['enabled'])
frmMain.setVisible(dict_ui['visible'])
# ----------------------------------------------------------------------
# LOCAL SIGNALS & SLOTs
# ----------------------------------------------------------------------
self.ledWI.editingFinished.connect(self.ui2dict)
self.ledWF.editingFinished.connect(self.ui2dict)
self.butLock.clicked.connect(self.butLock_clicked)
self.cmbW.currentIndexChanged.connect(self.ui2dict)
# initialize button icon
self.butLock_clicked(self.butLock.isChecked())
def quant_coeffs(self,
q_dict: dict,
coeffs: iterable,
to_int: bool = False) -> list:
"""
Quantize the coefficients, scale and convert them to integer and return them
as a list of integers
This is called every time one of the coefficient subwidgets is edited or changed.
Parameters:
-----------
q_dict: dict
Dictionary with quantizer settings for coefficients
coeffs: iterable
a list or ndarray of coefficients to be quantized
Returns:
--------
A list of integer coeffcients, quantized and scaled with the settings
of the passed quantization dict
"""
# Create coefficient quantizer instance using the passed quantization parameters
# dict from `input_widgets/input_coeffs.py` (and stored in the central
# filter dict)
Q_coeff = fx.Fixed(q_dict)
Q_coeff.frmt = 'dec' # always use decimal format for coefficients
if coeffs is None:
logger.error("Coeffs empty!")
# quantize floating point coefficients with the selected scale (WI.WF),
# next convert array float -> array of fixp
# -> list of int (scaled by 2^WF) when `to_int == True`
if to_int:
return list(Q_coeff.float2frmt(coeffs) * (1 << Q_coeff.WF))
else:
return list(Q_coeff.fixp(coeffs))
# --------------------------------------------------------------------------
def butLock_clicked(self, clicked):
"""
Update the icon of the push button depending on its state
"""
if clicked:
self.butLock.setIcon(QIcon(':/lock-locked.svg'))
else:
self.butLock.setIcon(QIcon(':/lock-unlocked.svg'))
q_icon_size = self.butLock.iconSize(
) # <- uncomment this for manual sizing
self.butLock.setIconSize(q_icon_size)
dict_sig = {'wdg_name': self.wdg_name, 'ui': 'butLock'}
self.emit(dict_sig)
# --------------------------------------------------------------------------
def ui2dict(self, s=None):
"""
Update the attributes `self.WI`, `self.WF` and `self.W` and `self.q_dict`
when one of the QLineEdit widgets has been edited.
Emit a signal with `{'ui':objectName of the sender}`.
"""
self.WI = int(
safe_eval(self.ledWI.text(),
self.WI,
return_type="int",
sign='poszero'))
self.ledWI.setText(qstr(self.WI))
self.WF = int(
safe_eval(self.ledWF.text(),
self.WF,
return_type="int",
sign='poszero'))
self.ledWF.setText(qstr(self.WF))
self.W = int(self.WI + self.WF + 1)
self.q_dict.update({'WI': self.WI, 'WF': self.WF, 'W': self.W})
if self.sender():
obj_name = self.sender().objectName()
logger.debug("sender: {0}".format(obj_name))
dict_sig = {'wdg_name': self.wdg_name, 'ui': obj_name}
self.emit(dict_sig)
elif s == 'init':
logger.debug("called by __init__")
else:
logger.error("sender without name!")
# --------------------------------------------------------------------------
def dict2ui(self, q_dict=None):
"""
Update the widgets `WI` and `WF` and the corresponding attributes
from the dict passed as the argument
"""
if q_dict is None:
q_dict = self.q_dict
if 'WI' in q_dict:
self.WI = safe_eval(q_dict['WI'],
self.WI,
return_type="int",
sign='poszero')
self.ledWI.setText(qstr(self.WI))
else:
logger.warning("No key 'WI' in dict!")
if 'WF' in q_dict:
self.WF = safe_eval(q_dict['WF'],
self.WF,
return_type="int",
sign='poszero')
self.ledWF.setText(qstr(self.WF))
else:
logger.warning("No key 'WF' in dict!")
self.W = self.WF + self.WI + 1
class UI_Q(QWidget):
"""
Widget for selecting quantization / overflow options. The result can be read out
via the attributes `self.ovfl` and `self.quant`.
The constructor accepts a reference to the quantization dictionary for
initial widget settings and for (re-)storing values.
The following keys are defined; default values are used for missing keys:
'wdg_name' : 'ui_q' # widget name
'label' : '' # widget text label
'label_q' : 'Quant.' # subwidget text label
'tip_q' : 'Select kind of quantization.' # Mouse-over tooltip
'cmb_q' : [round', 'fix', 'floor'] # combo-box choices
'cur_q' : 'round' # initial / current setting
'label_ov' : 'Ovfl.' # subwidget text label
'tip_ov' : 'Select overflow behaviour.' # Mouse-over tooltip
'cmb_ov' : ['wrap', 'sat'] # combo-box choices
'cur_ov' : 'wrap' # initial / current setting
'enabled' : True # Is widget enabled?
'visible' : True # Is widget visible?
"""
# incoming,
# sig_rx = pyqtSignal(object)
# outcgoing
sig_tx = pyqtSignal(object)
from pyfda.libs.pyfda_qt_lib import emit
def __init__(self, parent, q_dict, **kwargs):
super(UI_Q, self).__init__(parent)
self.q_dict = q_dict
self._construct_UI(**kwargs)
def _construct_UI(self, **kwargs):
""" Construct widget """
dict_ui = {
'wdg_name': 'ui_q',
'label': '',
'label_q': 'Quant.',
'tip_q': 'Select the kind of quantization.',
'cmb_q': ['round', 'fix', 'floor'],
'cur_q': 'round',
'label_ov': 'Ovfl.',
'tip_ov': 'Select overflow behaviour.',
'cmb_ov': ['wrap', 'sat'],
'cur_ov': 'wrap',
'enabled': True,
'visible': True
} #: default widget settings
if 'quant' in self.q_dict and self.q_dict['quant'] in dict_ui['cmb_q']:
dict_ui['cur_q'] = self.q_dict['quant']
if 'ovfl' in self.q_dict and self.q_dict['ovfl'] in dict_ui['cmb_ov']:
dict_ui['cur_ov'] = self.q_dict['ovfl']
for key, val in kwargs.items():
dict_ui.update({key: val})
# dict_ui.update(map(kwargs)) # same as above?
self.wdg_name = dict_ui['wdg_name']
lblQuant = QLabel(dict_ui['label_q'], self)
self.cmbQuant = QComboBox(self)
self.cmbQuant.addItems(dict_ui['cmb_q'])
qset_cmb_box(self.cmbQuant, dict_ui['cur_q'])
self.cmbQuant.setToolTip(dict_ui['tip_q'])
self.cmbQuant.setObjectName('quant')
lblOvfl = QLabel(dict_ui['label_ov'], self)
self.cmbOvfl = QComboBox(self)
self.cmbOvfl.addItems(dict_ui['cmb_ov'])
qset_cmb_box(self.cmbOvfl, dict_ui['cur_ov'])
self.cmbOvfl.setToolTip(dict_ui['tip_ov'])
self.cmbOvfl.setObjectName('ovfl')
# ComboBox size is adjusted automatically to fit the longest element
self.cmbQuant.setSizeAdjustPolicy(QComboBox.AdjustToContents)
self.cmbOvfl.setSizeAdjustPolicy(QComboBox.AdjustToContents)
layH = QHBoxLayout()
if dict_ui['label'] != "":
lblW = QLabel(to_html(dict_ui['label'], frmt='bi'), self)
layH.addWidget(lblW)
layH.addStretch()
layH.addWidget(lblOvfl)
layH.addWidget(self.cmbOvfl)
# layH.addStretch(1)
layH.addWidget(lblQuant)
layH.addWidget(self.cmbQuant)
layH.setContentsMargins(0, 0, 0, 0)
frmMain = QFrame(self)
frmMain.setLayout(layH)
layVMain = QVBoxLayout() # Widget main layout
layVMain.addWidget(frmMain)
layVMain.setContentsMargins(0, 0, 0, 0) # *params['wdg_margins'])
self.setLayout(layVMain)
# ----------------------------------------------------------------------
# INITIAL SETTINGS
# ----------------------------------------------------------------------
self.ovfl = qget_cmb_box(self.cmbOvfl, data=False)
self.quant = qget_cmb_box(self.cmbQuant, data=False)
frmMain.setEnabled(dict_ui['enabled'])
frmMain.setVisible(dict_ui['visible'])
# ----------------------------------------------------------------------
# LOCAL SIGNALS & SLOTs
# ----------------------------------------------------------------------
self.cmbOvfl.currentIndexChanged.connect(self.ui2dict)
self.cmbQuant.currentIndexChanged.connect(self.ui2dict)
# --------------------------------------------------------------------------
def ui2dict(self):
"""
Update the quantization dict and the attributes `self.ovfl` and
`self.quant` from the UI
"""
self.ovfl = self.cmbOvfl.currentText()
self.quant = self.cmbQuant.currentText()
self.q_dict.update({'ovfl': self.ovfl, 'quant': self.quant})
if self.sender():
obj_name = self.sender().objectName()
dict_sig = {'wdg_name': self.wdg_name, 'ui': obj_name}
self.emit(dict_sig)
# --------------------------------------------------------------------------
def dict2ui(self, q_dict):
""" Update UI from passed dictionary """
pass
class PlotImpz_UI(QWidget):
"""
Create the UI for the PlotImpz class
"""
# incoming: not implemented at the moment, update_N is triggered directly
# by plot_impz
# sig_rx = pyqtSignal(object)
# outgoing: from various UI elements to PlotImpz ('ui_changed':'xxx')
sig_tx = pyqtSignal(object)
# outgoing: to fft related widgets (FFT window widget, qfft_win_select)
sig_tx_fft = pyqtSignal(object)
from pyfda.libs.pyfda_qt_lib import emit
# ------------------------------------------------------------------------------
def process_sig_rx(self, dict_sig=None):
"""
Process signals coming from
- FFT window widget
- qfft_win_select
"""
# logger.debug("PROCESS_SIG_RX - vis: {0}\n{1}"
# .format(self.isVisible(), pprint_log(dict_sig)))
if 'id' in dict_sig and dict_sig['id'] == id(self):
logger.warning("Stopped infinite loop:\n{0}".format(
pprint_log(dict_sig)))
return
# --- signals coming from the FFT window widget or the FFT window selector
if dict_sig['class'] in {'Plot_FFT_win', 'QFFTWinSelector'}:
if 'closeEvent' in dict_sig: # hide FFT window widget and return
self.hide_fft_wdg()
return
else:
# check for value 'fft_win*':
if 'view_changed' in dict_sig and 'fft_win' in dict_sig[
'view_changed']:
# local connection to FFT window widget and qfft_win_select
self.emit(dict_sig, sig_name='sig_tx_fft')
# global connection to e.g. plot_impz
self.emit(dict_sig)
# ------------------------------------------------------------------------------
def __init__(self):
super().__init__()
"""
Intitialize the widget, consisting of:
- top chkbox row
- coefficient table
- two bottom rows with action buttons
"""
# initial settings
self.N_start = 0
self.N_user = 0
self.N = 0
self.N_frame_user = 0
self.N_frame = 0
# time
self.plt_time_resp = "stem"
self.plt_time_stim = "line"
self.plt_time_stmq = "none"
self.plt_time_spgr = "none"
self.bottom_t = -80 # initial value for log. scale (time)
self.time_nfft_spgr = 256 # number of fft points per spectrogram segment
self.time_ovlp_spgr = 128 # number of overlap points between spectrogram segments
self.mode_spgr_time = "psd"
# frequency
self.cmb_freq_display_item = "mag"
self.plt_freq_resp = "line"
self.plt_freq_stim = "none"
self.plt_freq_stmq = "none"
self.bottom_f = -120 # initial value for log. scale
self.param = None
self.f_scale = fb.fil[0]['f_S']
self.t_scale = fb.fil[0]['T_S']
# list of windows that are available for FFT analysis
win_names_list = [
"Boxcar", "Rectangular", "Barthann", "Bartlett", "Blackman",
"Blackmanharris", "Bohman", "Cosine", "Dolph-Chebyshev", "Flattop",
"General Gaussian", "Gauss", "Hamming", "Hann", "Kaiser",
"Nuttall", "Parzen", "Slepian", "Triangular", "Tukey"
]
self.cur_win_name = "Rectangular" # set initial window type
# initialize windows dict with the list above
self.win_dict = get_windows_dict(win_names_list=win_names_list,
cur_win_name=self.cur_win_name)
# instantiate FFT window with default windows dict
self.fft_widget = Plot_FFT_win(self,
self.win_dict,
sym=False,
title="pyFDA Spectral Window Viewer")
# hide window initially, this is modeless i.e. a non-blocking popup window
self.fft_widget.hide()
# data / icon / tooltipp (none) for plotting styles
self.plot_styles_list = [
("Plot style"), ("none", QIcon(":/plot_style-none"), "off"),
("dots*", QIcon(":/plot_style-mkr"), "markers only"),
("line", QIcon(":/plot_style-line"), "line"),
("line*", QIcon(":/plot_style-line-mkr"), "line + markers"),
("stem", QIcon(":/plot_style-stem"), "stems"),
("stem*", QIcon(":/plot_style-stem-mkr"), "stems + markers"),
("steps", QIcon(":/plot_style-steps"), "steps"),
("steps*", QIcon(":/plot_style-steps-mkr"), "steps + markers")
]
self.cmb_time_spgr_items = [
"<span>Show Spectrogram for selected signal.</span>",
("none", "None", ""), ("xn", "x[n]", "input"),
("xqn", "x_q[n]", "quantized input"), ("yn", "y[n]", "output")
]
self.cmb_mode_spgr_time_items = [
"<span>Spectrogram display mode.</span>",
("psd", "PSD",
"<span>Power Spectral Density, either per bin or referred to "
"<i>f<sub>S</sub></i></span>"),
("magnitude", "Mag.", "Signal magnitude"),
("angle", "Angle", "Phase, wrapped to ± π"),
("phase", "Phase", "Phase (unwrapped)")
]
# self.N
self.cmb_freq_display_items = [
"<span>Select how to display the spectrum.</span>",
("mag", "Magnitude", "<span>Spectral magnitude</span>"),
("mag_phi", "Mag. / Phase", "<span>Magnitude and phase.</span>"),
("re_im", "Re. / Imag.",
"<span>Real and imaginary part of spectrum.</span>")
]
self._construct_UI()
# self._enable_stim_widgets()
self.update_N(emit=False) # also updates window function and win_dict
# self._update_noi()
def _construct_UI(self):
# ----------- ---------------------------------------------------
# Run control widgets
# ---------------------------------------------------------------
# self.but_auto_run = QPushButtonRT(text=to_html("Auto", frmt="b"), margin=0)
self.but_auto_run = QPushButton(" Auto", self)
self.but_auto_run.setObjectName("but_auto_run")
self.but_auto_run.setToolTip(
"<span>Update response automatically when "
"parameters have been changed.</span>")
# self.but_auto_run.setMaximumWidth(qtext_width(text=" Auto "))
self.but_auto_run.setCheckable(True)
self.but_auto_run.setChecked(True)
but_height = self.but_auto_run.sizeHint().height()
self.but_run = QPushButton(self)
self.but_run.setIcon(QIcon(":/play.svg"))
self.but_run.setIconSize(QSize(but_height, but_height))
self.but_run.setFixedSize(QSize(2 * but_height, but_height))
self.but_run.setToolTip("Run simulation")
self.but_run.setEnabled(True)
self.cmb_sim_select = QComboBox(self)
self.cmb_sim_select.addItems(["Float", "Fixpoint"])
qset_cmb_box(self.cmb_sim_select, "Float")
self.cmb_sim_select.setToolTip("<span>Simulate floating-point or "
"fixpoint response.</span>")
self.lbl_N_points = QLabel(to_html("N", frmt='bi') + " =", self)
self.led_N_points = QLineEdit(self)
self.led_N_points.setText(str(self.N))
self.led_N_points.setToolTip(
"<span>Last data point. "
"<i>N</i> = 0 tries to choose for you.</span>")
self.led_N_points.setMaximumWidth(qtext_width(N_x=8))
self.lbl_N_start = QLabel(to_html("N_0", frmt='bi') + " =", self)
self.led_N_start = QLineEdit(self)
self.led_N_start.setText(str(self.N_start))
self.led_N_start.setToolTip("<span>First point to plot.</span>")
self.led_N_start.setMaximumWidth(qtext_width(N_x=8))
self.lbl_N_frame = QLabel(to_html("ΔN", frmt='bi') + " =", self)
self.led_N_frame = QLineEdit(self)
self.led_N_frame.setText(str(self.N_frame))
self.led_N_frame.setToolTip(
"<span>Frame length; longer frames calculate faster but calculation cannot "
"be stopped so quickly. "
"<i>ΔN</i> = 0 calculates all samples in one frame.</span>")
self.led_N_frame.setMaximumWidth(qtext_width(N_x=8))
self.prg_wdg = QProgressBar(self)
self.prg_wdg.setFixedHeight(but_height)
self.prg_wdg.setFixedWidth(qtext_width(N_x=6))
self.prg_wdg.setMinimum(0)
self.prg_wdg.setValue(0)
self.but_toggle_stim_options = PushButton(" Stimuli ", checked=True)
self.but_toggle_stim_options.setObjectName("but_stim_options")
self.but_toggle_stim_options.setToolTip(
"<span>Show / hide stimulus options.</span>")
self.lbl_stim_cmplx_warn = QLabel(self)
self.lbl_stim_cmplx_warn = QLabel(to_html("Cmplx!", frmt='b'), self)
self.lbl_stim_cmplx_warn.setToolTip(
'<span>Signal is complex valued; '
'single-sided and H<sub>id</sub> spectra may be wrong.</span>')
self.lbl_stim_cmplx_warn.setStyleSheet("background-color : yellow;"
"border : 1px solid grey")
self.but_fft_wdg = QPushButton(self)
self.but_fft_wdg.setIcon(QIcon(":/fft.svg"))
self.but_fft_wdg.setIconSize(QSize(but_height, but_height))
self.but_fft_wdg.setFixedSize(QSize(int(1.5 * but_height), but_height))
self.but_fft_wdg.setToolTip(
'<span>Show / hide FFT widget (select window type '
' and display its properties).</span>')
self.but_fft_wdg.setCheckable(True)
self.but_fft_wdg.setChecked(False)
self.qfft_win_select = QFFTWinSelector(self, self.win_dict)
self.but_fx_scale = PushButton(" FX:Int ")
self.but_fx_scale.setObjectName("but_fx_scale")
self.but_fx_scale.setToolTip(
"<span>Display data with integer (fixpoint) scale.</span>")
self.but_fx_range = PushButton(" FX:Range")
self.but_fx_range.setObjectName("but_fx_limits")
self.but_fx_range.setToolTip(
"<span>Display limits of fixpoint range.</span>")
layH_ctrl_run = QHBoxLayout()
layH_ctrl_run.addWidget(self.but_auto_run)
layH_ctrl_run.addWidget(self.but_run)
layH_ctrl_run.addWidget(self.cmb_sim_select)
layH_ctrl_run.addSpacing(10)
layH_ctrl_run.addWidget(self.lbl_N_start)
layH_ctrl_run.addWidget(self.led_N_start)
layH_ctrl_run.addWidget(self.lbl_N_points)
layH_ctrl_run.addWidget(self.led_N_points)
layH_ctrl_run.addWidget(self.lbl_N_frame)
layH_ctrl_run.addWidget(self.led_N_frame)
layH_ctrl_run.addWidget(self.prg_wdg)
layH_ctrl_run.addSpacing(20)
layH_ctrl_run.addWidget(self.but_toggle_stim_options)
layH_ctrl_run.addSpacing(5)
layH_ctrl_run.addWidget(self.lbl_stim_cmplx_warn)
layH_ctrl_run.addSpacing(20)
layH_ctrl_run.addWidget(self.but_fft_wdg)
layH_ctrl_run.addWidget(self.qfft_win_select)
layH_ctrl_run.addSpacing(20)
layH_ctrl_run.addWidget(self.but_fx_scale)
layH_ctrl_run.addWidget(self.but_fx_range)
layH_ctrl_run.addStretch(10)
# layH_ctrl_run.setContentsMargins(*params['wdg_margins'])
self.wdg_ctrl_run = QWidget(self)
self.wdg_ctrl_run.setLayout(layH_ctrl_run)
# --- end of run control ----------------------------------------
# ----------- ---------------------------------------------------
# Controls for time domain
# ---------------------------------------------------------------
self.lbl_plt_time_stim = QLabel(to_html("Stim. x", frmt='bi'), self)
self.cmb_plt_time_stim = QComboBox(self)
qcmb_box_populate(self.cmb_plt_time_stim, self.plot_styles_list,
self.plt_time_stim)
self.cmb_plt_time_stim.setToolTip(
"<span>Plot style for stimulus.</span>")
self.lbl_plt_time_stmq = QLabel(
to_html(" Fixp. Stim. x_Q", frmt='bi'), self)
self.cmb_plt_time_stmq = QComboBox(self)
qcmb_box_populate(self.cmb_plt_time_stmq, self.plot_styles_list,
self.plt_time_stmq)
self.cmb_plt_time_stmq.setToolTip(
"<span>Plot style for <em>fixpoint</em> "
"(quantized) stimulus.</span>")
lbl_plt_time_resp = QLabel(to_html(" Resp. y", frmt='bi'),
self)
self.cmb_plt_time_resp = QComboBox(self)
qcmb_box_populate(self.cmb_plt_time_resp, self.plot_styles_list,
self.plt_time_resp)
self.cmb_plt_time_resp.setToolTip(
"<span>Plot style for response.</span>")
self.lbl_win_time = QLabel(to_html(" Win", frmt='bi'), self)
self.chk_win_time = QCheckBox(self)
self.chk_win_time.setObjectName("chk_win_time")
self.chk_win_time.setToolTip(
'<span>Plot FFT windowing function.</span>')
self.chk_win_time.setChecked(False)
line1 = QVLine()
line2 = QVLine(width=5)
self.but_log_time = PushButton(" dB")
self.but_log_time.setObjectName("but_log_time")
self.but_log_time.setToolTip(
"<span>Logarithmic scale for y-axis.</span>")
lbl_plt_time_spgr = QLabel(to_html("Spectrogram", frmt='bi'), self)
self.cmb_plt_time_spgr = QComboBox(self)
qcmb_box_populate(self.cmb_plt_time_spgr, self.cmb_time_spgr_items,
self.plt_time_spgr)
spgr_en = self.plt_time_spgr != "none"
self.cmb_mode_spgr_time = QComboBox(self)
qcmb_box_populate(self.cmb_mode_spgr_time,
self.cmb_mode_spgr_time_items, self.mode_spgr_time)
self.cmb_mode_spgr_time.setVisible(spgr_en)
self.lbl_byfs_spgr_time = QLabel(to_html(" per f_S", frmt='b'),
self)
self.lbl_byfs_spgr_time.setVisible(spgr_en)
self.chk_byfs_spgr_time = QCheckBox(self)
self.chk_byfs_spgr_time.setObjectName("chk_log_spgr")
self.chk_byfs_spgr_time.setToolTip("<span>Display spectral density "
"i.e. scale by f_S</span>")
self.chk_byfs_spgr_time.setChecked(True)
self.chk_byfs_spgr_time.setVisible(spgr_en)
self.but_log_spgr_time = QPushButton("dB")
self.but_log_spgr_time.setMaximumWidth(qtext_width(text=" dB"))
self.but_log_spgr_time.setObjectName("but_log_spgr")
self.but_log_spgr_time.setToolTip(
"<span>Logarithmic scale for spectrogram.</span>")
self.but_log_spgr_time.setCheckable(True)
self.but_log_spgr_time.setChecked(True)
self.but_log_spgr_time.setVisible(spgr_en)
self.lbl_time_nfft_spgr = QLabel(to_html(" N_FFT =", frmt='bi'),
self)
self.lbl_time_nfft_spgr.setVisible(spgr_en)
self.led_time_nfft_spgr = QLineEdit(self)
self.led_time_nfft_spgr.setText(str(self.time_nfft_spgr))
self.led_time_nfft_spgr.setToolTip("<span>Number of FFT points per "
"spectrogram segment.</span>")
self.led_time_nfft_spgr.setVisible(spgr_en)
self.lbl_time_ovlp_spgr = QLabel(to_html(" N_OVLP =", frmt='bi'),
self)
self.lbl_time_ovlp_spgr.setVisible(spgr_en)
self.led_time_ovlp_spgr = QLineEdit(self)
self.led_time_ovlp_spgr.setText(str(self.time_ovlp_spgr))
self.led_time_ovlp_spgr.setToolTip(
"<span>Number of overlap data points "
"between spectrogram segments.</span>")
self.led_time_ovlp_spgr.setVisible(spgr_en)
self.lbl_log_bottom_time = QLabel(to_html("min =", frmt='bi'), self)
self.led_log_bottom_time = QLineEdit(self)
self.led_log_bottom_time.setText(str(self.bottom_t))
self.led_log_bottom_time.setMaximumWidth(qtext_width(N_x=8))
self.led_log_bottom_time.setToolTip(
"<span>Minimum display value for time and spectrogram plots with log. scale."
"</span>")
self.lbl_log_bottom_time.setVisible(
self.but_log_time.isChecked()
or (spgr_en and self.but_log_spgr_time.isChecked()))
self.led_log_bottom_time.setVisible(
self.lbl_log_bottom_time.isVisible())
# self.lbl_colorbar_time = QLabel(to_html(" Col.bar", frmt='b'), self)
# self.lbl_colorbar_time.setVisible(spgr_en)
# self.chk_colorbar_time = QCheckBox(self)
# self.chk_colorbar_time.setObjectName("chk_colorbar_time")
# self.chk_colorbar_time.setToolTip("<span>Enable colorbar</span>")
# self.chk_colorbar_time.setChecked(True)
# self.chk_colorbar_time.setVisible(spgr_en)
layH_ctrl_time = QHBoxLayout()
layH_ctrl_time.addWidget(self.lbl_plt_time_stim)
layH_ctrl_time.addWidget(self.cmb_plt_time_stim)
#
layH_ctrl_time.addWidget(self.lbl_plt_time_stmq)
layH_ctrl_time.addWidget(self.cmb_plt_time_stmq)
#
layH_ctrl_time.addWidget(lbl_plt_time_resp)
layH_ctrl_time.addWidget(self.cmb_plt_time_resp)
#
layH_ctrl_time.addWidget(self.lbl_win_time)
layH_ctrl_time.addWidget(self.chk_win_time)
layH_ctrl_time.addSpacing(5)
layH_ctrl_time.addWidget(line1)
layH_ctrl_time.addSpacing(5)
#
layH_ctrl_time.addWidget(self.lbl_log_bottom_time)
layH_ctrl_time.addWidget(self.led_log_bottom_time)
layH_ctrl_time.addWidget(self.but_log_time)
layH_ctrl_time.addSpacing(5)
layH_ctrl_time.addWidget(line2)
layH_ctrl_time.addSpacing(5)
#
layH_ctrl_time.addWidget(lbl_plt_time_spgr)
layH_ctrl_time.addWidget(self.cmb_plt_time_spgr)
layH_ctrl_time.addWidget(self.cmb_mode_spgr_time)
layH_ctrl_time.addWidget(self.lbl_byfs_spgr_time)
layH_ctrl_time.addWidget(self.chk_byfs_spgr_time)
layH_ctrl_time.addWidget(self.but_log_spgr_time)
layH_ctrl_time.addWidget(self.lbl_time_nfft_spgr)
layH_ctrl_time.addWidget(self.led_time_nfft_spgr)
layH_ctrl_time.addWidget(self.lbl_time_ovlp_spgr)
layH_ctrl_time.addWidget(self.led_time_ovlp_spgr)
layH_ctrl_time.addStretch(10)
# layH_ctrl_time.setContentsMargins(*params['wdg_margins'])
self.wdg_ctrl_time = QWidget(self)
self.wdg_ctrl_time.setLayout(layH_ctrl_time)
# ---- end time domain ------------------
# ---------------------------------------------------------------
# Controls for frequency domain
# ---------------------------------------------------------------
self.lbl_plt_freq_stim = QLabel(to_html("Stimulus X", frmt='bi'), self)
self.cmb_plt_freq_stim = QComboBox(self)
qcmb_box_populate(self.cmb_plt_freq_stim, self.plot_styles_list,
self.plt_freq_stim)
self.cmb_plt_freq_stim.setToolTip(
"<span>Plot style for stimulus.</span>")
self.lbl_plt_freq_stmq = QLabel(
to_html(" Fixp. Stim. X_Q", frmt='bi'), self)
self.cmb_plt_freq_stmq = QComboBox(self)
qcmb_box_populate(self.cmb_plt_freq_stmq, self.plot_styles_list,
self.plt_freq_stmq)
self.cmb_plt_freq_stmq.setToolTip(
"<span>Plot style for <em>fixpoint</em> (quantized) stimulus.</span>"
)
lbl_plt_freq_resp = QLabel(to_html(" Response Y", frmt='bi'),
self)
self.cmb_plt_freq_resp = QComboBox(self)
qcmb_box_populate(self.cmb_plt_freq_resp, self.plot_styles_list,
self.plt_freq_resp)
self.cmb_plt_freq_resp.setToolTip(
"<span>Plot style for response.</span>")
self.but_log_freq = QPushButton("dB")
self.but_log_freq.setMaximumWidth(qtext_width(" dB"))
self.but_log_freq.setObjectName(".but_log_freq")
self.but_log_freq.setToolTip(
"<span>Logarithmic scale for y-axis.</span>")
self.but_log_freq.setCheckable(True)
self.but_log_freq.setChecked(True)
self.lbl_log_bottom_freq = QLabel(to_html("min =", frmt='bi'), self)
self.lbl_log_bottom_freq.setVisible(self.but_log_freq.isChecked())
self.led_log_bottom_freq = QLineEdit(self)
self.led_log_bottom_freq.setText(str(self.bottom_f))
self.led_log_bottom_freq.setMaximumWidth(qtext_width(N_x=8))
self.led_log_bottom_freq.setToolTip(
"<span>Minimum display value for log. scale.</span>")
self.led_log_bottom_freq.setVisible(self.but_log_freq.isChecked())
if not self.but_log_freq.isChecked():
self.bottom_f = 0
self.cmb_freq_display = QComboBox(self)
qcmb_box_populate(self.cmb_freq_display, self.cmb_freq_display_items,
self.cmb_freq_display_item)
self.cmb_freq_display.setObjectName("cmb_re_im_freq")
self.but_Hf = QPushButtonRT(self, to_html("H_id", frmt="bi"), margin=5)
self.but_Hf.setObjectName("chk_Hf")
self.but_Hf.setToolTip(
"<span>Show ideal frequency response, calculated "
"from the filter coefficients.</span>")
self.but_Hf.setChecked(False)
self.but_Hf.setCheckable(True)
self.but_freq_norm_impz = QPushButtonRT(
text="<b><i>E<sub>X</sub></i> = 1</b>", margin=5)
self.but_freq_norm_impz.setToolTip(
"<span>Normalize the FFT of the stimulus with <i>N<sub>FFT</sub></i> for "
"<i>E<sub>X</sub></i> = 1. For a dirac pulse, this yields "
"|<i>Y(f)</i>| = |<i>H(f)</i>|. DC and Noise need to be "
"turned off, window should be <b>Rectangular</b>.</span>")
self.but_freq_norm_impz.setCheckable(True)
self.but_freq_norm_impz.setChecked(True)
self.but_freq_norm_impz.setObjectName("freq_norm_impz")
self.but_freq_show_info = QPushButton("Info", self)
self.but_freq_show_info.setMaximumWidth(qtext_width(" Info "))
self.but_freq_show_info.setObjectName("but_show_info_freq")
self.but_freq_show_info.setToolTip(
"<span>Show signal power in legend.</span>")
self.but_freq_show_info.setCheckable(True)
self.but_freq_show_info.setChecked(False)
layH_ctrl_freq = QHBoxLayout()
layH_ctrl_freq.addWidget(self.lbl_plt_freq_stim)
layH_ctrl_freq.addWidget(self.cmb_plt_freq_stim)
#
layH_ctrl_freq.addWidget(self.lbl_plt_freq_stmq)
layH_ctrl_freq.addWidget(self.cmb_plt_freq_stmq)
#
layH_ctrl_freq.addWidget(lbl_plt_freq_resp)
layH_ctrl_freq.addWidget(self.cmb_plt_freq_resp)
#
layH_ctrl_freq.addSpacing(5)
layH_ctrl_freq.addWidget(self.but_Hf)
layH_ctrl_freq.addStretch(1)
#
layH_ctrl_freq.addWidget(self.lbl_log_bottom_freq)
layH_ctrl_freq.addWidget(self.led_log_bottom_freq)
layH_ctrl_freq.addWidget(self.but_log_freq)
layH_ctrl_freq.addStretch(1)
layH_ctrl_freq.addWidget(self.cmb_freq_display)
layH_ctrl_freq.addStretch(1)
layH_ctrl_freq.addWidget(self.but_freq_norm_impz)
layH_ctrl_freq.addStretch(1)
layH_ctrl_freq.addWidget(self.but_freq_show_info)
layH_ctrl_freq.addStretch(10)
# layH_ctrl_freq.setContentsMargins(*params['wdg_margins'])
self.wdg_ctrl_freq = QWidget(self)
self.wdg_ctrl_freq.setLayout(layH_ctrl_freq)
# ---- end Frequency Domain ------------------
# ----------------------------------------------------------------------
# GLOBAL SIGNALS & SLOTs
# ----------------------------------------------------------------------
# connect FFT widget to qfft_selector and vice versa and to and signals upstream:
self.fft_widget.sig_tx.connect(self.process_sig_rx)
self.qfft_win_select.sig_tx.connect(self.process_sig_rx)
# connect process_sig_rx output to both FFT widgets
self.sig_tx_fft.connect(self.fft_widget.sig_rx)
self.sig_tx_fft.connect(self.qfft_win_select.sig_rx)
# ----------------------------------------------------------------------
# LOCAL SIGNALS & SLOTs
# ----------------------------------------------------------------------
# --- run control ---
self.led_N_start.editingFinished.connect(self.update_N)
self.led_N_points.editingFinished.connect(self.update_N)
self.led_N_frame.editingFinished.connect(self.update_N)
self.but_fft_wdg.clicked.connect(self.toggle_fft_wdg)
# -------------------------------------------------------------------------
def update_N(self, emit=True):
"""
Update values for `self.N` and `self.win_dict['N']`, for `self.N_start` and
`self.N_end` from the corresponding QLineEditWidgets.
When `emit==True`, fire `'ui_changed': 'N'` to update the FFT window and the
`plot_impz` widgets. In contrast to `view_changed`, this also forces a
recalculation of the transient response.
This method is called by:
- `self._construct_ui()` with `emit==False`
- `plot_impz()` with `emit==False` when the automatic calculation
of N has to be updated (e.g. order of FIR Filter has changed
- signal-slot connection when `N_start` or `N_end` QLineEdit widgets have
been changed (`emit==True`)
"""
if not isinstance(emit, bool):
logger.error("update N: emit={0}".format(emit))
self.N_start = safe_eval(self.led_N_start.text(),
self.N_start,
return_type='int',
sign='poszero')
self.led_N_start.setText(str(self.N_start)) # update widget
self.N_user = safe_eval(self.led_N_points.text(),
self.N_user,
return_type='int',
sign='poszero')
if self.N_user == 0: # automatic calculation
self.N = self.calc_n_points(self.N_user) # widget remains set to 0
self.led_N_points.setText("0") # update widget
else:
self.N = self.N_user
self.led_N_points.setText(str(self.N)) # update widget
# total number of points to be calculated: N + N_start
self.N_end = self.N + self.N_start
self.N_frame_user = safe_eval(self.led_N_frame.text(),
self.N_frame_user,
return_type='int',
sign='poszero')
if self.N_frame_user == 0:
self.N_frame = self.N_end # use N_end for frame length
self.led_N_frame.setText(
"0") # update widget with "0" as set by user
else:
self.N_frame = self.N_frame_user
self.led_N_frame.setText(str(self.N_frame)) # update widget
# recalculate displayed freq. index values when freq. unit == 'k'
if fb.fil[0]['freq_specs_unit'] == 'k':
self.update_freqs()
if emit:
# use `'ui_changed'` as this triggers recalculation of the transient
# response
self.emit({'ui_changed': 'N'})
# ------------------------------------------------------------------------------
def toggle_fft_wdg(self):
"""
Show / hide FFT widget depending on the state of the corresponding button
When widget is shown, trigger an update of the window function.
"""
if self.but_fft_wdg.isChecked():
self.fft_widget.show()
self.emit({'view_changed': 'fft_win_type'}, sig_name='sig_tx_fft')
else:
self.fft_widget.hide()
# --------------------------------------------------------------------------
def hide_fft_wdg(self):
"""
The closeEvent caused by clicking the "x" in the FFT widget is caught
there and routed here to only hide the window
"""
self.but_fft_wdg.setChecked(False)
self.fft_widget.hide()
# ------------------------------------------------------------------------------
def calc_n_points(self, N_user=0):
"""
Calculate number of points to be displayed, depending on type of filter
(FIR, IIR) and user input. If the user selects 0 points, the number is
calculated automatically.
An improvement would be to calculate the dominant pole and the corresponding
settling time.
"""
if N_user == 0: # set number of data points automatically
if fb.fil[0]['ft'] == 'IIR':
# IIR: No algorithm yet, set N = 100
N = 100
else:
# FIR: N = number of coefficients (max. 100)
N = min(len(fb.fil[0]['ba'][0]), 100)
else:
N = N_user
return N
class FreqUnits(QWidget):
"""
Build and update widget for entering frequency unit, frequency range and
sampling frequency f_S
The following key-value pairs of the `fb.fil[0]` dict are modified:
- `'freq_specs_unit'` : The unit ('k', 'f_S', 'f_Ny', 'Hz' etc.) as a string
- `'freqSpecsRange'` : A list with two entries for minimum and maximum frequency
values for labelling the frequency axis
- `'f_S'` : The sampling frequency for referring frequency values to as a float
- `'f_max'` : maximum frequency for scaling frequency axis
- `'plt_fUnit'`: frequency unit as string
- `'plt_tUnit'`: time unit as string
- `'plt_fLabel'`: label for frequency axis
- `'plt_tLabel'`: label for time axis
"""
# class variables (shared between instances if more than one exists)
sig_tx = pyqtSignal(object) # outgoing
from pyfda.libs.pyfda_qt_lib import emit
def __init__(self, parent=None, title="Frequency Units"):
super(FreqUnits, self).__init__(parent)
self.title = title
self.spec_edited = False # flag whether QLineEdit field has been edited
self._construct_UI()
def _construct_UI(self):
"""
Construct the User Interface
"""
self.layVMain = QVBoxLayout() # Widget main layout
f_units = ['k', 'f_S', 'f_Ny', 'Hz', 'kHz', 'MHz', 'GHz']
self.t_units = ['', 'T_S', 'T_S', 's', 'ms', r'$\mu$s', 'ns']
bfont = QFont()
bfont.setBold(True)
self.lblUnits = QLabel(self)
self.lblUnits.setText("Freq. Unit")
self.lblUnits.setFont(bfont)
self.fs_old = fb.fil[0]['f_S'] # store current sampling frequency
self.lblF_S = QLabel(self)
self.lblF_S.setText(to_html("f_S =", frmt='bi'))
self.ledF_S = QLineEdit()
self.ledF_S.setText(str(fb.fil[0]["f_S"]))
self.ledF_S.setObjectName("f_S")
self.ledF_S.installEventFilter(self) # filter events
self.butLock = QToolButton(self)
self.butLock.setIcon(QIcon(':/lock-unlocked.svg'))
self.butLock.setCheckable(True)
self.butLock.setChecked(False)
self.butLock.setToolTip(
"<span><b>Unlocked:</b> When f_S is changed, all frequency related "
"widgets are updated, normalized frequencies stay the same.<br />"
"<b>Locked:</b> When f_S is changed, displayed absolute frequency "
"values don't change but normalized frequencies do.</span>")
# self.butLock.setStyleSheet("QToolButton:checked {font-weight:bold}")
layHF_S = QHBoxLayout()
layHF_S.addWidget(self.ledF_S)
layHF_S.addWidget(self.butLock)
self.cmbUnits = QComboBox(self)
self.cmbUnits.setObjectName("cmbUnits")
self.cmbUnits.addItems(f_units)
self.cmbUnits.setToolTip(
'Select whether frequencies are specified w.r.t. \n'
'the sampling frequency "f_S", to the Nyquist frequency \n'
'f_Ny = f_S/2 or as absolute values. "k" specifies frequencies w.r.t. f_S '
'but plots graphs over the frequency index k.')
self.cmbUnits.setCurrentIndex(1)
# self.cmbUnits.setItemData(0, (0,QColor("#FF333D"),Qt.BackgroundColorRole))#
# self.cmbUnits.setItemData(0, (QFont('Verdana', bold=True), Qt.FontRole)
fRanges = [("0...½", "half"), ("0...1", "whole"), ("-½...½", "sym")]
self.cmbFRange = QComboBox(self)
self.cmbFRange.setObjectName("cmbFRange")
for f in fRanges:
self.cmbFRange.addItem(f[0], f[1])
self.cmbFRange.setToolTip("Select frequency range (whole or half).")
self.cmbFRange.setCurrentIndex(0)
# Combobox resizes with longest entry
self.cmbUnits.setSizeAdjustPolicy(QComboBox.AdjustToContents)
self.cmbFRange.setSizeAdjustPolicy(QComboBox.AdjustToContents)
self.butSort = QToolButton(self)
self.butSort.setText("Sort")
self.butSort.setIcon(QIcon(':/sort-ascending.svg'))
#self.butDelCells.setIconSize(q_icon_size)
self.butSort.setCheckable(True)
self.butSort.setChecked(True)
self.butSort.setToolTip(
"Sort frequencies in ascending order when pushed.")
self.butSort.setStyleSheet("QToolButton:checked {font-weight:bold}")
self.layHUnits = QHBoxLayout()
self.layHUnits.addWidget(self.cmbUnits)
self.layHUnits.addWidget(self.cmbFRange)
self.layHUnits.addWidget(self.butSort)
# Create a gridLayout consisting of QLabel and QLineEdit fields
# for setting f_S, the units and the actual frequency specs:
self.layGSpecWdg = QGridLayout() # sublayout for spec fields
self.layGSpecWdg.addWidget(self.lblF_S, 1, 0)
# self.layGSpecWdg.addWidget(self.ledF_S,1,1)
self.layGSpecWdg.addLayout(layHF_S, 1, 1)
self.layGSpecWdg.addWidget(self.lblUnits, 0, 0)
self.layGSpecWdg.addLayout(self.layHUnits, 0, 1)
frmMain = QFrame(self)
frmMain.setLayout(self.layGSpecWdg)
self.layVMain.addWidget(frmMain)
self.layVMain.setContentsMargins(*params['wdg_margins'])
self.setLayout(self.layVMain)
#----------------------------------------------------------------------
# LOCAL SIGNALS & SLOTs
#----------------------------------------------------------------------
self.cmbUnits.currentIndexChanged.connect(self.update_UI)
self.butLock.clicked.connect(self._lock_freqs)
self.cmbFRange.currentIndexChanged.connect(self._freq_range)
self.butSort.clicked.connect(self._store_sort_flag)
# ----------------------------------------------------------------------
self.update_UI() # first-time initialization
# -------------------------------------------------------------
def _lock_freqs(self):
"""
Lock / unlock frequency entries: The values of frequency related widgets
are stored in normalized form (w.r.t. sampling frequency)`fb.fil[0]['f_S']`.
When the sampling frequency changes, absolute frequencies displayed in the
widgets change their values. Most of the time, this is the desired behaviour,
the properties of discrete time systems or signals are usually defined
by the normalized frequencies.
When the effect of varying the sampling frequency is to be analyzed, the
displayed values in the widgets can be locked by pressing the Lock button.
After changing the sampling frequency, normalized frequencies have to be
rescaled like `f_a *= fb.fil[0]['f_S_prev'] / fb.fil[0]['f_S']` to maintain
the displayed value `f_a * f_S`.
This has to be accomplished by each frequency widget (currently, these are
freq_specs and freq_units).
The setting is stored as bool in the global dict entry `fb.fil[0]['freq_locked'`,
the signal 'view_changed':'f_S' is emitted.
"""
if self.butLock.isChecked():
# Lock has been activated, keep displayed frequencies locked
fb.fil[0]['freq_locked'] = True
self.butLock.setIcon(QIcon(':/lock-locked.svg'))
else:
# Lock has been unlocked, scale displayed frequencies with f_S
fb.fil[0]['freq_locked'] = False
self.butLock.setIcon(QIcon(':/lock-unlocked.svg'))
self.emit({'view_changed': 'f_S'})
# -------------------------------------------------------------
def update_UI(self):
"""
update_UI is called
- during init
- when the unit combobox is changed
Set various scale factors and labels depending on the setting of the unit
combobox.
Update the freqSpecsRange and finally, emit 'view_changed':'f_S' signal
"""
f_unit = str(self.cmbUnits.currentText()) # selected frequency unit
idx = self.cmbUnits.currentIndex() # and its index
is_normalized_freq = f_unit in {"f_S", "f_Ny", "k"}
self.ledF_S.setVisible(not is_normalized_freq) # only vis. when
self.lblF_S.setVisible(not is_normalized_freq) # not normalized
self.butLock.setVisible(not is_normalized_freq)
f_S_scale = 1 # default setting for f_S scale
if is_normalized_freq:
# store current sampling frequency to restore it when returning to
# unnormalized frequencies
self.fs_old = fb.fil[0]['f_S']
if f_unit == "f_S": # normalized to f_S
fb.fil[0]['f_S'] = fb.fil[0]['f_max'] = 1.
fb.fil[0]['T_S'] = 1.
f_label = r"$F = f\, /\, f_S = \Omega \, /\, 2 \mathrm{\pi} \; \rightarrow$"
t_label = r"$n = t\, /\, T_S \; \rightarrow$"
elif f_unit == "f_Ny": # normalized to f_nyq = f_S / 2
fb.fil[0]['f_S'] = fb.fil[0]['f_max'] = 2.
fb.fil[0]['T_S'] = 1.
f_label = r"$F = 2f \, / \, f_S = \Omega \, / \, \mathrm{\pi} \; \rightarrow$"
t_label = r"$n = t\, /\, T_S \; \rightarrow$"
else: # frequency index k,
fb.fil[0]['f_S'] = 1.
fb.fil[0]['T_S'] = 1.
fb.fil[0]['f_max'] = params['N_FFT']
f_label = r"$k \; \rightarrow$"
t_label = r"$n\; \rightarrow$"
self.ledF_S.setText(params['FMT'].format(fb.fil[0]['f_S']))
else: # Hz, kHz, ...
# Restore sampling frequency when returning from f_S / f_Ny / k
if fb.fil[0]['freq_specs_unit'] in {
"f_S", "f_Ny", "k"
}: # previous setting normalized?
fb.fil[0]['f_S'] = fb.fil[0][
'f_max'] = self.fs_old # yes, restore prev.
fb.fil[0][
'T_S'] = 1. / self.fs_old # settings for sampling frequency
self.ledF_S.setText(params['FMT'].format(fb.fil[0]['f_S']))
if f_unit == "Hz":
f_S_scale = 1.
elif f_unit == "kHz":
f_S_scale = 1.e3
elif f_unit == "MHz":
f_S_scale = 1.e6
elif f_unit == "GHz":
f_S_scale = 1.e9
else:
logger.warning("Unknown frequency unit {0}".format(f_unit))
f_label = r"$f$ in " + f_unit + r"$\; \rightarrow$"
t_label = r"$t$ in " + self.t_units[idx] + r"$\; \rightarrow$"
if f_unit == "k":
plt_f_unit = "f_S"
else:
plt_f_unit = f_unit
fb.fil[0].update({'f_S_scale':
f_S_scale}) # scale factor for f_S (Hz, kHz, ...)
fb.fil[0].update({'freq_specs_unit': f_unit}) # frequency unit
# time and frequency unit as string e.g. for plot axis labeling
fb.fil[0].update({"plt_fUnit": plt_f_unit})
fb.fil[0].update({"plt_tUnit": self.t_units[idx]})
# complete plot axis labels including unit and arrow
fb.fil[0].update({"plt_fLabel": f_label})
fb.fil[0].update({"plt_tLabel": t_label})
self._freq_range(
emit=False) # update f_lim setting without emitting signal
self.emit({'view_changed': 'f_S'})
# ------------------------------------------------------------------------------
def eventFilter(self, source, event):
"""
Filter all events generated by the QLineEdit `f_S` widget. Source and type
of all events generated by monitored objects are passed to this eventFilter,
evaluated and passed on to the next hierarchy level.
- When a QLineEdit widget gains input focus (QEvent.FocusIn`), display
the stored value from filter dict with full precision
- When a key is pressed inside the text field, set the `spec_edited` flag
to True.
- When a QLineEdit widget loses input focus (QEvent.FocusOut`), store
current value with full precision (only if `spec_edited`== True) and
display the stored value in selected format. Emit 'view_changed':'f_S'
"""
def _store_entry():
"""
Update filter dictionary, set line edit entry with reduced precision
again.
"""
if self.spec_edited:
fb.fil[0].update({'f_S_prev': fb.fil[0]['f_S']})
fb.fil[0].update({
'f_S':
safe_eval(source.text(), fb.fil[0]['f_S'], sign='pos')
})
fb.fil[0].update({'T_S': 1. / fb.fil[0]['f_S']})
fb.fil[0].update({'f_max': fb.fil[0]['f_S']})
self._freq_range(emit=False) # update plotting range
self.emit({'view_changed': 'f_S'})
self.spec_edited = False # reset flag, changed entry has been saved
if source.objectName() == 'f_S':
if event.type() == QEvent.FocusIn:
self.spec_edited = False
source.setText(str(fb.fil[0]['f_S'])) # full precision
elif event.type() == QEvent.KeyPress:
self.spec_edited = True # entry has been changed
key = event.key()
if key in {QtCore.Qt.Key_Return, QtCore.Qt.Key_Enter}:
_store_entry()
elif key == QtCore.Qt.Key_Escape: # revert changes
self.spec_edited = False
source.setText(str(fb.fil[0]['f_S'])) # full precision
elif event.type() == QEvent.FocusOut:
_store_entry()
source.setText(params['FMT'].format(
fb.fil[0]['f_S'])) # reduced prec.
# Call base class method to continue normal event processing:
return super(FreqUnits, self).eventFilter(source, event)
# -------------------------------------------------------------
def _freq_range(self, emit=True):
"""
Set frequency plotting range for single-sided spectrum up to f_S/2 or f_S
or for double-sided spectrum between -f_S/2 and f_S/2
Emit 'view_changed':'f_range' when `emit=True`
"""
if type(emit) == int: # signal was emitted by combobox
emit = True
rangeType = qget_cmb_box(self.cmbFRange)
fb.fil[0].update({'freqSpecsRangeType': rangeType})
f_max = fb.fil[0]["f_max"]
if rangeType == 'whole':
f_lim = [0, f_max]
elif rangeType == 'sym':
f_lim = [-f_max / 2., f_max / 2.]
else:
f_lim = [0, f_max / 2.]
fb.fil[0]['freqSpecsRange'] = f_lim # store settings in dict
if emit:
self.emit({'view_changed': 'f_range'})
# -------------------------------------------------------------
def load_dict(self):
"""
Reload comboBox settings and textfields from filter dictionary
Block signals during update of combobox / lineedit widgets
"""
self.ledF_S.setText(params['FMT'].format(fb.fil[0]['f_S']))
self.cmbUnits.blockSignals(True)
idx = self.cmbUnits.findText(
fb.fil[0]['freq_specs_unit']) # get and set
self.cmbUnits.setCurrentIndex(idx) # index for freq. unit combo box
self.cmbUnits.blockSignals(False)
self.cmbFRange.blockSignals(True)
idx = self.cmbFRange.findData(fb.fil[0]['freqSpecsRangeType'])
self.cmbFRange.setCurrentIndex(idx) # set frequency range
self.cmbFRange.blockSignals(False)
self.butSort.blockSignals(True)
self.butSort.setChecked(fb.fil[0]['freq_specs_sort'])
self.butSort.blockSignals(False)
# -------------------------------------------------------------
def _store_sort_flag(self):
"""
Store sort flag in filter dict and emit 'specs_changed':'f_sort'
when sort button is checked.
"""
fb.fil[0]['freq_specs_sort'] = self.butSort.isChecked()
if self.butSort.isChecked():
self.emit({'specs_changed': 'f_sort'})
class Firwin(QWidget):
FRMT = 'ba' # output format(s) of filter design routines 'zpk' / 'ba' / 'sos'
# currently, only 'ba' is supported for firwin routines
sig_tx = pyqtSignal(object)
def __init__(self):
QWidget.__init__(self)
self.ft = 'FIR'
self.fft_window = None
# dictionary for firwin window settings
self.win_dict = fb.fil[0]['win_fir']
c = Common()
self.rt_dict = c.rt_base_iir
self.rt_dict_add = {
'COM': {
'min': {
'msg':
('a',
r"<br /><b>Note:</b> Filter order is only a rough approximation "
"and most likely far too low!")
},
'man': {
'msg':
('a', r"Enter desired filter order <b><i>N</i></b> and "
"<b>-6 dB</b> pass band corner "
"frequency(ies) <b><i>F<sub>C</sub></i></b> .")
},
},
'LP': {
'man': {},
'min': {}
},
'HP': {
'man': {
'msg': ('a', r"<br /><b>Note:</b> Order needs to be odd!")
},
'min': {}
},
'BS': {
'man': {
'msg': ('a', r"<br /><b>Note:</b> Order needs to be odd!")
},
'min': {}
},
'BP': {
'man': {},
'min': {}
},
}
self.info = """**Windowed FIR filters**
are designed by truncating the
infinite impulse response of an ideal filter with a window function.
The kind of used window has strong influence on ripple etc. of the
resulting filter.
**Design routines:**
``scipy.signal.firwin()``
"""
#self.info_doc = [] is set in self._update_UI()
#------------------- end of static info for filter tree ---------------
#----------------------------------------------------------------------
def construct_UI(self):
"""
Create additional subwidget(s) needed for filter design:
These subwidgets are instantiated dynamically when needed in
select_filter.py using the handle to the filter object, fb.filObj .
"""
# Combobox for selecting the algorithm to estimate minimum filter order
self.cmb_firwin_alg = QComboBox(self)
self.cmb_firwin_alg.setObjectName('wdg_cmb_firwin_alg')
self.cmb_firwin_alg.addItems(['ichige', 'kaiser', 'herrmann'])
# Minimum size, can be changed in the upper hierarchy levels using layouts:
self.cmb_firwin_alg.setSizeAdjustPolicy(QComboBox.AdjustToContents)
self.cmb_firwin_alg.hide()
# Combobox for selecting the window used for filter design
self.cmb_firwin_win = QComboBox(self)
self.cmb_firwin_win.addItems(get_window_names())
self.cmb_firwin_win.setObjectName('wdg_cmb_firwin_win')
# Minimum size, can be changed in the upper hierarchy levels using layouts:
self.cmb_firwin_win.setSizeAdjustPolicy(QComboBox.AdjustToContents)
self.but_fft_win = QPushButton(self)
self.but_fft_win.setText("WIN FFT")
self.but_fft_win.setToolTip(
"Show time and frequency response of FFT Window")
self.but_fft_win.setCheckable(True)
self.but_fft_win.setChecked(False)
self.lblWinPar1 = QLabel("a", self)
self.lblWinPar1.setObjectName('wdg_lbl_firwin_1')
self.ledWinPar1 = QLineEdit(self)
self.ledWinPar1.setText("0.5")
self.ledWinPar1.setObjectName('wdg_led_firwin_1')
self.lblWinPar1.setVisible(False)
self.ledWinPar1.setVisible(False)
self.lblWinPar2 = QLabel("b", self)
self.lblWinPar2.setObjectName('wdg_lbl_firwin_2')
self.ledWinPar2 = QLineEdit(self)
self.ledWinPar2.setText("0.5")
self.ledWinPar2.setObjectName('wdg_led_firwin_2')
self.ledWinPar2.setVisible(False)
self.lblWinPar2.setVisible(False)
self.layHWin1 = QHBoxLayout()
self.layHWin1.addWidget(self.cmb_firwin_win)
self.layHWin1.addWidget(self.but_fft_win)
self.layHWin1.addWidget(self.cmb_firwin_alg)
self.layHWin2 = QHBoxLayout()
self.layHWin2.addWidget(self.lblWinPar1)
self.layHWin2.addWidget(self.ledWinPar1)
self.layHWin2.addWidget(self.lblWinPar2)
self.layHWin2.addWidget(self.ledWinPar2)
self.layVWin = QVBoxLayout()
self.layVWin.addLayout(self.layHWin1)
self.layVWin.addLayout(self.layHWin2)
self.layVWin.setContentsMargins(0, 0, 0, 0)
# Widget containing all subwidgets (cmbBoxes, Labels, lineEdits)
self.wdg_fil = QWidget(self)
self.wdg_fil.setObjectName('wdg_fil')
self.wdg_fil.setLayout(self.layVWin)
#----------------------------------------------------------------------
# SIGNALS & SLOTs
#----------------------------------------------------------------------
self.cmb_firwin_alg.activated.connect(self._update_win_fft)
self.cmb_firwin_win.activated.connect(self._update_win_fft)
self.ledWinPar1.editingFinished.connect(self._read_param1)
self.ledWinPar2.editingFinished.connect(self._read_param2)
self.but_fft_win.clicked.connect(self.show_fft_win)
#----------------------------------------------------------------------
self._load_dict() # get initial / last setting from dictionary
self._update_win_fft()
#=============================================================================
# Copied from impz()
#==============================================================================
def _read_param1(self):
"""Read out textbox when editing is finished and update dict and fft window"""
param = safe_eval(self.ledWinPar1.text(),
self.win_dict['par'][0]['val'],
sign='pos',
return_type='float')
if param < self.win_dict['par'][0]['min']:
param = self.win_dict['par'][0]['min']
elif param > self.win_dict['par'][0]['max']:
param = self.win_dict['par'][0]['max']
self.ledWinPar1.setText(str(param))
self.win_dict['par'][0]['val'] = param
self._update_win_fft()
def _read_param2(self):
"""Read out textbox when editing is finished and update dict and fft window"""
param = safe_eval(self.ledWinPar2.text(),
self.win_dict['par'][1]['val'],
return_type='float')
if param < self.win_dict['par'][1]['min']:
param = self.win_dict['par'][1]['min']
elif param > self.win_dict['par'][1]['max']:
param = self.win_dict['par'][1]['max']
self.ledWinPar2.setText(str(param))
self.win_dict['par'][1]['val'] = param
self._update_win_fft()
def _update_win_fft(self):
""" Update window type for FirWin """
self.alg = str(self.cmb_firwin_alg.currentText())
self.fir_window_name = qget_cmb_box(self.cmb_firwin_win, data=False)
self.win = calc_window_function(self.win_dict,
self.fir_window_name,
N=self.N,
sym=True)
n_par = self.win_dict['n_par']
self.lblWinPar1.setVisible(n_par > 0)
self.ledWinPar1.setVisible(n_par > 0)
self.lblWinPar2.setVisible(n_par > 1)
self.ledWinPar2.setVisible(n_par > 1)
if n_par > 0:
self.lblWinPar1.setText(
to_html(self.win_dict['par'][0]['name'] + " =", frmt='bi'))
self.ledWinPar1.setText(str(self.win_dict['par'][0]['val']))
self.ledWinPar1.setToolTip(self.win_dict['par'][0]['tooltip'])
if n_par > 1:
self.lblWinPar2.setText(
to_html(self.win_dict['par'][1]['name'] + " =", frmt='bi'))
self.ledWinPar2.setText(str(self.win_dict['par'][1]['val']))
self.ledWinPar2.setToolTip(self.win_dict['par'][1]['tooltip'])
# sig_tx -> select_filter -> filter_specs
self.sig_tx.emit({'sender': __name__, 'filt_changed': 'firwin'})
#=============================================================================
def _load_dict(self):
"""
Reload window selection and parameters from filter dictionary
and set UI elements accordingly. load_dict() is called upon
initialization and when the filter is loaded from disk.
"""
self.N = fb.fil[0]['N']
win_idx = 0
alg_idx = 0
if 'wdg_fil' in fb.fil[0] and 'firwin' in fb.fil[0]['wdg_fil']:
wdg_fil_par = fb.fil[0]['wdg_fil']['firwin']
if 'win' in wdg_fil_par:
if np.isscalar(
wdg_fil_par['win']): # true for strings (non-vectors)
window = wdg_fil_par['win']
else:
window = wdg_fil_par['win'][0]
self.ledWinPar1.setText(str(wdg_fil_par['win'][1]))
if len(wdg_fil_par['win']) > 2:
self.ledWinPar2.setText(str(wdg_fil_par['win'][2]))
# find index for window string
win_idx = self.cmb_firwin_win.findText(
window, Qt.MatchFixedString) # case insensitive flag
if win_idx == -1: # Key does not exist, use first entry instead
win_idx = 0
if 'alg' in wdg_fil_par:
alg_idx = self.cmb_firwin_alg.findText(wdg_fil_par['alg'],
Qt.MatchFixedString)
if alg_idx == -1: # Key does not exist, use first entry instead
alg_idx = 0
self.cmb_firwin_win.setCurrentIndex(
win_idx) # set index for window and
self.cmb_firwin_alg.setCurrentIndex(alg_idx) # and algorithm cmbBox
def _store_entries(self):
"""
Store window and alg. selection and parameter settings (part of
self.firWindow, if any) in filter dictionary.
"""
if not 'wdg_fil' in fb.fil[0]:
fb.fil[0].update({'wdg_fil': {}})
fb.fil[0]['wdg_fil'].update(
{'firwin': {
'win': self.firWindow,
'alg': self.alg
}})
def _get_params(self, fil_dict):
"""
Translate parameters from the passed dictionary to instance
parameters, scaling / transforming them if needed.
"""
self.N = fil_dict['N']
self.F_PB = fil_dict['F_PB']
self.F_SB = fil_dict['F_SB']
self.F_PB2 = fil_dict['F_PB2']
self.F_SB2 = fil_dict['F_SB2']
self.F_C = fil_dict['F_C']
self.F_C2 = fil_dict['F_C2']
# firwin amplitude specs are linear (not in dBs)
self.A_PB = fil_dict['A_PB']
self.A_PB2 = fil_dict['A_PB2']
self.A_SB = fil_dict['A_SB']
self.A_SB2 = fil_dict['A_SB2']
# self.alg = 'ichige' # algorithm for determining the minimum order
# self.alg = self.cmb_firwin_alg.currentText()
def _test_N(self):
"""
Warn the user if the calculated order is too high for a reasonable filter
design.
"""
if self.N > 1000:
return qfilter_warning(self, self.N, "FirWin")
else:
return True
def _save(self, fil_dict, arg):
"""
Convert between poles / zeros / gain, filter coefficients (polynomes)
and second-order sections and store all available formats in the passed
dictionary 'fil_dict'.
"""
fil_save(fil_dict, arg, self.FRMT, __name__)
try: # has the order been calculated by a "min" filter design?
fil_dict['N'] = self.N # yes, update filterbroker
except AttributeError:
pass
# self._store_entries()
#------------------------------------------------------------------------------
def firwin(self,
numtaps,
cutoff,
window=None,
pass_zero=True,
scale=True,
nyq=1.0,
fs=None):
"""
FIR filter design using the window method. This is more or less the
same as `scipy.signal.firwin` with the exception that an ndarray with
the window values can be passed as an alternative to the window name.
The parameters "width" (specifying a Kaiser window) and "fs" have been
omitted, they are not needed here.
This function computes the coefficients of a finite impulse response
filter. The filter will have linear phase; it will be Type I if
`numtaps` is odd and Type II if `numtaps` is even.
Type II filters always have zero response at the Nyquist rate, so a
ValueError exception is raised if firwin is called with `numtaps` even and
having a passband whose right end is at the Nyquist rate.
Parameters
----------
numtaps : int
Length of the filter (number of coefficients, i.e. the filter
order + 1). `numtaps` must be even if a passband includes the
Nyquist frequency.
cutoff : float or 1D array_like
Cutoff frequency of filter (expressed in the same units as `nyq`)
OR an array of cutoff frequencies (that is, band edges). In the
latter case, the frequencies in `cutoff` should be positive and
monotonically increasing between 0 and `nyq`. The values 0 and
`nyq` must not be included in `cutoff`.
window : ndarray or string
string: use the window with the passed name from scipy.signal.windows
ndarray: The window values - this is an addition to the original
firwin routine.
pass_zero : bool, optional
If True, the gain at the frequency 0 (i.e. the "DC gain") is 1.
Otherwise the DC gain is 0.
scale : bool, optional
Set to True to scale the coefficients so that the frequency
response is exactly unity at a certain frequency.
That frequency is either:
- 0 (DC) if the first passband starts at 0 (i.e. pass_zero
is True)
- `nyq` (the Nyquist rate) if the first passband ends at
`nyq` (i.e the filter is a single band highpass filter);
center of first passband otherwise
nyq : float, optional
Nyquist frequency. Each frequency in `cutoff` must be between 0
and `nyq`.
Returns
-------
h : (numtaps,) ndarray
Coefficients of length `numtaps` FIR filter.
Raises
------
ValueError
If any value in `cutoff` is less than or equal to 0 or greater
than or equal to `nyq`, if the values in `cutoff` are not strictly
monotonically increasing, or if `numtaps` is even but a passband
includes the Nyquist frequency.
See also
--------
scipy.firwin
"""
cutoff = np.atleast_1d(cutoff) / float(nyq)
# Check for invalid input.
if cutoff.ndim > 1:
raise ValueError("The cutoff argument must be at most "
"one-dimensional.")
if cutoff.size == 0:
raise ValueError("At least one cutoff frequency must be given.")
if cutoff.min() <= 0 or cutoff.max() >= 1:
raise ValueError(
"Invalid cutoff frequency {0}: frequencies must be "
"greater than 0 and less than nyq.".format(cutoff))
if np.any(np.diff(cutoff) <= 0):
raise ValueError("Invalid cutoff frequencies: the frequencies "
"must be strictly increasing.")
pass_nyquist = bool(cutoff.size & 1) ^ pass_zero
if pass_nyquist and numtaps % 2 == 0:
raise ValueError(
"A filter with an even number of coefficients must "
"have zero response at the Nyquist rate.")
# Insert 0 and/or 1 at the ends of cutoff so that the length of cutoff
# is even, and each pair in cutoff corresponds to passband.
cutoff = np.hstack(([0.0] * pass_zero, cutoff, [1.0] * pass_nyquist))
# `bands` is a 2D array; each row gives the left and right edges of
# a passband.
bands = cutoff.reshape(-1, 2)
# Build up the coefficients.
alpha = 0.5 * (numtaps - 1)
m = np.arange(0, numtaps) - alpha
h = 0
for left, right in bands:
h += right * sinc(right * m)
h -= left * sinc(left * m)
if type(window) == str:
# Get and apply the window function.
from scipy.signal.signaltools import get_window
win = get_window(window, numtaps, fftbins=False)
elif type(window) == np.ndarray:
win = window
else:
logger.error(
"The 'window' was neither a string nor a numpy array, it could not be evaluated."
)
return None
# apply the window function.
h *= win
# Now handle scaling if desired.
if scale:
# Get the first passband.
left, right = bands[0]
if left == 0:
scale_frequency = 0.0
elif right == 1:
scale_frequency = 1.0
else:
scale_frequency = 0.5 * (left + right)
c = np.cos(np.pi * m * scale_frequency)
s = np.sum(h * c)
h /= s
return h
def _firwin_ord(self, F, W, A, alg):
#http://www.mikroe.com/chapters/view/72/chapter-2-fir-filters/
delta_f = abs(F[1] - F[0]) * 2 # referred to f_Ny
delta_A = np.sqrt(A[0] * A[1])
if self.fir_window_name == 'kaiser':
N, beta = sig.kaiserord(20 * np.log10(np.abs(fb.fil[0]['A_SB'])),
delta_f)
self.ledWinPar1.setText(str(beta))
fb.fil[0]['wdg_fil'][1] = beta
self._update_UI()
else:
N = remezord(F, W, A, fs=1, alg=alg)[0]
return N
def LPmin(self, fil_dict):
self._get_params(fil_dict)
self.N = self._firwin_ord([self.F_PB, self.F_SB], [1, 0],
[self.A_PB, self.A_SB],
alg=self.alg)
if not self._test_N():
return -1
self.fir_window = calc_window_function(self.win_dict,
self.fir_window_name,
N=self.N,
sym=True)
fil_dict['F_C'] = (self.F_SB + self.F_PB
) / 2 # use average of calculated F_PB and F_SB
self._save(
fil_dict,
self.firwin(self.N,
fil_dict['F_C'],
window=self.fir_window,
nyq=0.5))
def LPman(self, fil_dict):
self._get_params(fil_dict)
if not self._test_N():
return -1
self.fir_window = calc_window_function(self.win_dict,
self.fir_window_name,
N=self.N,
sym=True)
self._save(
fil_dict,
self.firwin(self.N,
fil_dict['F_C'],
window=self.fir_window,
nyq=0.5))
def HPmin(self, fil_dict):
self._get_params(fil_dict)
N = self._firwin_ord([self.F_SB, self.F_PB], [0, 1],
[self.A_SB, self.A_PB],
alg=self.alg)
self.N = round_odd(N) # enforce odd order
if not self._test_N():
return -1
self.fir_window = calc_window_function(self.win_dict,
self.fir_window_name,
N=self.N,
sym=True)
fil_dict['F_C'] = (self.F_SB + self.F_PB
) / 2 # use average of calculated F_PB and F_SB
self._save(
fil_dict,
self.firwin(self.N,
fil_dict['F_C'],
window=self.fir_window,
pass_zero=False,
nyq=0.5))
def HPman(self, fil_dict):
self._get_params(fil_dict)
self.N = round_odd(self.N) # enforce odd order
if not self._test_N():
return -1
self.fir_window = calc_window_function(self.win_dict,
self.fir_window_name,
N=self.N,
sym=True)
self._save(
fil_dict,
self.firwin(self.N,
fil_dict['F_C'],
window=self.fir_window,
pass_zero=False,
nyq=0.5))
# For BP and BS, F_PB and F_SB have two elements each
def BPmin(self, fil_dict):
self._get_params(fil_dict)
self.N = remezord([self.F_SB, self.F_PB, self.F_PB2, self.F_SB2],
[0, 1, 0], [self.A_SB, self.A_PB, self.A_SB2],
fs=1,
alg=self.alg)[0]
if not self._test_N():
return -1
self.fir_window = calc_window_function(self.win_dict,
self.fir_window_name,
N=self.N,
sym=True)
fil_dict['F_C'] = (self.F_SB + self.F_PB
) / 2 # use average of calculated F_PB and F_SB
fil_dict['F_C2'] = (self.F_SB2 + self.F_PB2
) / 2 # use average of calculated F_PB and F_SB
self._save(
fil_dict,
self.firwin(self.N, [fil_dict['F_C'], fil_dict['F_C2']],
window=self.fir_window,
pass_zero=False,
nyq=0.5))
def BPman(self, fil_dict):
self._get_params(fil_dict)
if not self._test_N():
return -1
self.fir_window = calc_window_function(self.win_dict,
self.fir_window_name,
N=self.N,
sym=True)
self._save(
fil_dict,
self.firwin(self.N, [fil_dict['F_C'], fil_dict['F_C2']],
window=self.fir_window,
pass_zero=False,
nyq=0.5))
def BSmin(self, fil_dict):
self._get_params(fil_dict)
N = remezord([self.F_PB, self.F_SB, self.F_SB2, self.F_PB2], [1, 0, 1],
[self.A_PB, self.A_SB, self.A_PB2],
fs=1,
alg=self.alg)[0]
self.N = round_odd(N) # enforce odd order
if not self._test_N():
return -1
self.fir_window = calc_window_function(self.win_dict,
self.fir_window_name,
N=self.N,
sym=True)
fil_dict['F_C'] = (self.F_SB + self.F_PB
) / 2 # use average of calculated F_PB and F_SB
fil_dict['F_C2'] = (self.F_SB2 + self.F_PB2
) / 2 # use average of calculated F_PB and F_SB
self._save(
fil_dict,
self.firwin(self.N, [fil_dict['F_C'], fil_dict['F_C2']],
window=self.fir_window,
pass_zero=True,
nyq=0.5))
def BSman(self, fil_dict):
self._get_params(fil_dict)
self.N = round_odd(self.N) # enforce odd order
if not self._test_N():
return -1
self.fir_window = calc_window_function(self.win_dict,
self.fir_window_name,
N=self.N,
sym=True)
self._save(
fil_dict,
self.firwin(self.N, [fil_dict['F_C'], fil_dict['F_C2']],
window=self.fir_window,
pass_zero=True,
nyq=0.5))
#------------------------------------------------------------------------------
def show_fft_win(self):
"""
Pop-up FFT window
"""
if self.but_fft_win.isChecked():
qstyle_widget(self.but_fft_win, "changed")
else:
qstyle_widget(self.but_fft_win, "normal")
if self.fft_window is None: # no handle to the window? Create a new instance
if self.but_fft_win.isChecked():
# important: Handle to window must be class attribute
# pass the name of the dictionary where parameters are stored and
# whether a symmetric window or one that can be continued periodically
# will be constructed
self.fft_window = Plot_FFT_win(self,
win_dict=self.win_dict,
sym=True,
title="pyFDA FIR Window Viewer")
self.sig_tx.connect(self.fft_window.sig_rx)
self.fft_window.sig_tx.connect(self.close_fft_win)
self.fft_window.show(
) # modeless i.e. non-blocking popup window
else:
if not self.but_fft_win.isChecked():
if self.fft_window is None:
logger.warning("FFT window is already closed!")
else:
self.fft_window.close()
def close_fft_win(self):
self.fft_window = None
self.but_fft_win.setChecked(False)
qstyle_widget(self.but_fft_win, "normal")
class PlotImpz_UI(QWidget):
"""
Create the UI for the PlotImpz class
"""
# incoming: not implemented at the moment, update_N is triggered directly
# by plot_impz
# sig_rx = pyqtSignal(object)
# outgoing: from various UI elements to PlotImpz ('ui_changed':'xxx')
sig_tx = pyqtSignal(object)
# outgoing to local fft window
sig_tx_fft = pyqtSignal(object)
def __init__(self, parent):
"""
Pass instance `parent` of parent class (FilterCoeffs)
"""
super(PlotImpz_UI, self).__init__(parent)
"""
Intitialize the widget, consisting of:
- top chkbox row
- coefficient table
- two bottom rows with action buttons
"""
# initial settings
self.N_start = 0
self.N_user = 0
self.N = 0
# time
self.plt_time_resp = "Stem"
self.plt_time_stim = "None"
self.plt_time_stmq = "None"
self.plt_time_spgr = "None"
self.bottom_t = -80 # initial value for log. scale (time)
self.nfft_spgr_time = 256 # number of fft points per spectrogram segment
self.ovlp_spgr_time = 128 # number of overlap points between spectrogram segments
self.mode_spgr_time = "magnitude"
# stimuli
self.stim = "Impulse"
self.chirp_method = 'Linear'
self.noise = "None"
self.f1 = 0.02
self.f2 = 0.03
self.A1 = 1.0
self.A2 = 0.0
self.phi1 = self.phi2 = 0
self.noi = 0.1
self.noise = 'none'
self.DC = 0.0
self.stim_formula = "A1 * abs(sin(2 * pi * f1 * n))"
# frequency
self.plt_freq_resp = "Line"
self.plt_freq_stim = "None"
self.plt_freq_stmq = "None"
self.bottom_f = -120 # initial value for log. scale
self.param = None
# dictionary for fft window settings
self.win_dict = fb.fil[0]['win_fft']
self.fft_window = None # handle for FFT window pop-up widget
self.window_name = "Rectangular"
self._construct_UI()
self._enable_stim_widgets()
self.update_N(emit=False) # also updates window function
self._update_noi()
def _construct_UI(self):
# ----------- ---------------------------------------------------
# Run control widgets
# ---------------------------------------------------------------
self.chk_auto_run = QCheckBox("Auto", self)
self.chk_auto_run.setObjectName("chk_auto_run")
self.chk_auto_run.setToolTip("<span>Update response automatically when "
"parameters have been changed.</span>")
self.chk_auto_run.setChecked(True)
self.but_run = QPushButton(self)
self.but_run.setText("RUN")
self.but_run.setToolTip("Run simulation")
self.but_run.setEnabled(not self.chk_auto_run.isChecked())
self.cmb_sim_select = QComboBox(self)
self.cmb_sim_select.addItems(["Float","Fixpoint"])
qset_cmb_box(self.cmb_sim_select, "Float")
self.cmb_sim_select.setToolTip("<span>Simulate floating-point or fixpoint response."
"</span>")
self.lbl_N_points = QLabel(to_html("N", frmt='bi') + " =", self)
self.led_N_points = QLineEdit(self)
self.led_N_points.setText(str(self.N))
self.led_N_points.setToolTip("<span>Number of displayed data points. "
"<i>N</i> = 0 tries to choose for you.</span>")
self.lbl_N_start = QLabel(to_html("N_0", frmt='bi') + " =", self)
self.led_N_start = QLineEdit(self)
self.led_N_start.setText(str(self.N_start))
self.led_N_start.setToolTip("<span>First point to plot.</span>")
self.chk_fx_scale = QCheckBox("Int. scale", self)
self.chk_fx_scale.setObjectName("chk_fx_scale")
self.chk_fx_scale.setToolTip("<span>Display data with integer (fixpoint) scale.</span>")
self.chk_fx_scale.setChecked(False)
self.chk_stim_options = QCheckBox("Stim. Options", self)
self.chk_stim_options.setObjectName("chk_stim_options")
self.chk_stim_options.setToolTip("<span>Show stimulus options.</span>")
self.chk_stim_options.setChecked(True)
self.but_fft_win = QPushButton(self)
self.but_fft_win.setText("WIN FFT")
self.but_fft_win.setToolTip('<span> time and frequency response of FFT Window '
'(can be modified in the "Frequency" tab)</span>')
self.but_fft_win.setCheckable(True)
self.but_fft_win.setChecked(False)
layH_ctrl_run = QHBoxLayout()
layH_ctrl_run.addWidget(self.but_run)
#layH_ctrl_run.addWidget(self.lbl_sim_select)
layH_ctrl_run.addWidget(self.cmb_sim_select)
layH_ctrl_run.addWidget(self.chk_auto_run)
layH_ctrl_run.addStretch(1)
layH_ctrl_run.addWidget(self.lbl_N_start)
layH_ctrl_run.addWidget(self.led_N_start)
layH_ctrl_run.addStretch(1)
layH_ctrl_run.addWidget(self.lbl_N_points)
layH_ctrl_run.addWidget(self.led_N_points)
layH_ctrl_run.addStretch(2)
layH_ctrl_run.addWidget(self.chk_fx_scale)
layH_ctrl_run.addStretch(2)
layH_ctrl_run.addWidget(self.chk_stim_options)
layH_ctrl_run.addStretch(2)
layH_ctrl_run.addWidget(self.but_fft_win)
layH_ctrl_run.addStretch(10)
#layH_ctrl_run.setContentsMargins(*params['wdg_margins'])
self.wdg_ctrl_run = QWidget(self)
self.wdg_ctrl_run.setLayout(layH_ctrl_run)
# --- end of run control ----------------------------------------
# ----------- ---------------------------------------------------
# Controls for time domain
# ---------------------------------------------------------------
plot_styles_list = ["None","Dots","Line","Line*","Stem","Stem*","Step","Step*"]
lbl_plt_time_title = QLabel("<b>View:</b>", self)
self.lbl_plt_time_stim = QLabel(to_html("Stimulus x", frmt='bi'), self)
self.cmb_plt_time_stim = QComboBox(self)
self.cmb_plt_time_stim.addItems(plot_styles_list)
qset_cmb_box(self.cmb_plt_time_stim, self.plt_time_stim)
self.cmb_plt_time_stim.setToolTip("<span>Plot style for stimulus.</span>")
self.lbl_plt_time_stmq = QLabel(to_html(" Fixp. Stim. x_Q", frmt='bi'), self)
self.cmb_plt_time_stmq = QComboBox(self)
self.cmb_plt_time_stmq.addItems(plot_styles_list)
qset_cmb_box(self.cmb_plt_time_stmq, self.plt_time_stmq)
self.cmb_plt_time_stmq.setToolTip("<span>Plot style for <em>fixpoint</em> (quantized) stimulus.</span>")
lbl_plt_time_resp = QLabel(to_html(" Response y", frmt='bi'), self)
self.cmb_plt_time_resp = QComboBox(self)
self.cmb_plt_time_resp.addItems(plot_styles_list)
qset_cmb_box(self.cmb_plt_time_resp, self.plt_time_resp)
self.cmb_plt_time_resp.setToolTip("<span>Plot style for response.</span>")
lbl_win_time = QLabel(to_html(" FFT Window", frmt='bi'), self)
self.chk_win_time = QCheckBox(self)
self.chk_win_time.setObjectName("chk_win_time")
self.chk_win_time.setToolTip('<span>Show FFT windowing function (can be modified in the "Frequency" tab).</span>')
self.chk_win_time.setChecked(False)
lbl_log_time = QLabel(to_html("dB", frmt='b'), self)
self.chk_log_time = QCheckBox(self)
self.chk_log_time.setObjectName("chk_log_time")
self.chk_log_time.setToolTip("<span>Logarithmic scale for y-axis.</span>")
self.chk_log_time.setChecked(False)
self.lbl_log_bottom_time = QLabel(to_html("min =", frmt='bi'), self)
self.lbl_log_bottom_time.setVisible(True)
self.led_log_bottom_time = QLineEdit(self)
self.led_log_bottom_time.setText(str(self.bottom_t))
self.led_log_bottom_time.setToolTip("<span>Minimum display value for time "
"and spectrogram plots with log. scale.</span>")
self.led_log_bottom_time.setVisible(True)
lbl_plt_time_spgr = QLabel(to_html(" Spectrogram", frmt='bi'), self)
self.cmb_plt_time_spgr = QComboBox(self)
self.cmb_plt_time_spgr.addItems(["None", "x[n]", "x_q[n]", "y[n]"])
qset_cmb_box(self.cmb_plt_time_spgr, self.plt_time_spgr)
self.cmb_plt_time_spgr.setToolTip("<span>Show Spectrogram for selected signal.</span>")
spgr_en = self.plt_time_spgr != "None"
self.lbl_log_spgr_time = QLabel(to_html(" dB", frmt='b'), self)
self.lbl_log_spgr_time.setVisible(spgr_en)
self.chk_log_spgr_time = QCheckBox(self)
self.chk_log_spgr_time.setObjectName("chk_log_spgr")
self.chk_log_spgr_time.setToolTip("<span>Logarithmic scale for spectrogram.</span>")
self.chk_log_spgr_time.setChecked(True)
self.chk_log_spgr_time.setVisible(spgr_en)
self.lbl_nfft_spgr_time = QLabel(to_html(" N_FFT =", frmt='bi'), self)
self.lbl_nfft_spgr_time.setVisible(spgr_en)
self.led_nfft_spgr_time = QLineEdit(self)
self.led_nfft_spgr_time.setText(str(self.nfft_spgr_time))
self.led_nfft_spgr_time.setToolTip("<span>Number of FFT points per spectrogram segment.</span>")
self.led_nfft_spgr_time.setVisible(spgr_en)
self.lbl_ovlp_spgr_time = QLabel(to_html(" N_OVLP =", frmt='bi'), self)
self.lbl_ovlp_spgr_time.setVisible(spgr_en)
self.led_ovlp_spgr_time = QLineEdit(self)
self.led_ovlp_spgr_time.setText(str(self.ovlp_spgr_time))
self.led_ovlp_spgr_time.setToolTip("<span>Number of overlap data points between spectrogram segments.</span>")
self.led_ovlp_spgr_time.setVisible(spgr_en)
self.lbl_mode_spgr_time = QLabel(to_html(" Mode", frmt='bi'), self)
self.lbl_mode_spgr_time.setVisible(spgr_en)
self.cmb_mode_spgr_time = QComboBox(self)
spgr_modes = [("PSD","psd"), ("Mag.","magnitude"),\
("Angle","angle"), ("Phase","phase")]
for i in spgr_modes:
self.cmb_mode_spgr_time.addItem(*i)
qset_cmb_box(self.cmb_mode_spgr_time, self.mode_spgr_time, data=True)
self.cmb_mode_spgr_time.setToolTip("<span>Spectrogram display mode.</span>")
self.cmb_mode_spgr_time.setVisible(spgr_en)
self.lbl_byfs_spgr_time = QLabel(to_html(" per f_S", frmt='b'), self)
self.lbl_byfs_spgr_time.setVisible(spgr_en)
self.chk_byfs_spgr_time = QCheckBox(self)
self.chk_byfs_spgr_time.setObjectName("chk_log_spgr")
self.chk_byfs_spgr_time.setToolTip("<span>Display spectral density i.e. scale by f_S</span>")
self.chk_byfs_spgr_time.setChecked(True)
self.chk_byfs_spgr_time.setVisible(spgr_en)
# self.lbl_colorbar_time = QLabel(to_html(" Col.bar", frmt='b'), self)
# self.lbl_colorbar_time.setVisible(spgr_en)
# self.chk_colorbar_time = QCheckBox(self)
# self.chk_colorbar_time.setObjectName("chk_colorbar_time")
# self.chk_colorbar_time.setToolTip("<span>Enable colorbar</span>")
# self.chk_colorbar_time.setChecked(True)
# self.chk_colorbar_time.setVisible(spgr_en)
self.chk_fx_limits = QCheckBox("Min/max.", self)
self.chk_fx_limits.setObjectName("chk_fx_limits")
self.chk_fx_limits.setToolTip("<span>Display limits of fixpoint range.</span>")
self.chk_fx_limits.setChecked(False)
layH_ctrl_time = QHBoxLayout()
layH_ctrl_time.addWidget(lbl_plt_time_title)
layH_ctrl_time.addStretch(1)
layH_ctrl_time.addWidget(self.lbl_plt_time_stim)
layH_ctrl_time.addWidget(self.cmb_plt_time_stim)
#
layH_ctrl_time.addWidget(self.lbl_plt_time_stmq)
layH_ctrl_time.addWidget(self.cmb_plt_time_stmq)
#
layH_ctrl_time.addWidget(lbl_plt_time_resp)
layH_ctrl_time.addWidget(self.cmb_plt_time_resp)
#
layH_ctrl_time.addWidget(lbl_win_time)
layH_ctrl_time.addWidget(self.chk_win_time)
layH_ctrl_time.addStretch(1)
layH_ctrl_time.addWidget(lbl_log_time)
layH_ctrl_time.addWidget(self.chk_log_time)
layH_ctrl_time.addWidget(self.lbl_log_bottom_time)
layH_ctrl_time.addWidget(self.led_log_bottom_time)
#
layH_ctrl_time.addStretch(1)
#
layH_ctrl_time.addWidget(lbl_plt_time_spgr)
layH_ctrl_time.addWidget(self.cmb_plt_time_spgr)
layH_ctrl_time.addWidget(self.lbl_log_spgr_time)
layH_ctrl_time.addWidget(self.chk_log_spgr_time)
layH_ctrl_time.addWidget(self.lbl_nfft_spgr_time)
layH_ctrl_time.addWidget(self.led_nfft_spgr_time)
layH_ctrl_time.addWidget(self.lbl_ovlp_spgr_time)
layH_ctrl_time.addWidget(self.led_ovlp_spgr_time)
layH_ctrl_time.addWidget(self.lbl_mode_spgr_time)
layH_ctrl_time.addWidget(self.cmb_mode_spgr_time)
layH_ctrl_time.addWidget(self.lbl_byfs_spgr_time)
layH_ctrl_time.addWidget(self.chk_byfs_spgr_time)
layH_ctrl_time.addStretch(2)
layH_ctrl_time.addWidget(self.chk_fx_limits)
layH_ctrl_time.addStretch(10)
#layH_ctrl_time.setContentsMargins(*params['wdg_margins'])
self.wdg_ctrl_time = QWidget(self)
self.wdg_ctrl_time.setLayout(layH_ctrl_time)
# ---- end time domain ------------------
# ---------------------------------------------------------------
# Controls for frequency domain
# ---------------------------------------------------------------
lbl_plt_freq_title = QLabel("<b>View:</b>", self)
self.lbl_plt_freq_stim = QLabel(to_html("Stimulus X", frmt='bi'), self)
self.cmb_plt_freq_stim = QComboBox(self)
self.cmb_plt_freq_stim.addItems(plot_styles_list)
qset_cmb_box(self.cmb_plt_freq_stim, self.plt_freq_stim)
self.cmb_plt_freq_stim.setToolTip("<span>Plot style for stimulus.</span>")
self.lbl_plt_freq_stmq = QLabel(to_html(" Fixp. Stim. X_Q", frmt='bi'), self)
self.cmb_plt_freq_stmq = QComboBox(self)
self.cmb_plt_freq_stmq.addItems(plot_styles_list)
qset_cmb_box(self.cmb_plt_freq_stmq, self.plt_freq_stmq)
self.cmb_plt_freq_stmq.setToolTip("<span>Plot style for <em>fixpoint</em> (quantized) stimulus.</span>")
lbl_plt_freq_resp = QLabel(to_html(" Response Y", frmt='bi'), self)
self.cmb_plt_freq_resp = QComboBox(self)
self.cmb_plt_freq_resp.addItems(plot_styles_list)
qset_cmb_box(self.cmb_plt_freq_resp, self.plt_freq_resp)
self.cmb_plt_freq_resp.setToolTip("<span>Plot style for response.</span>")
lbl_log_freq = QLabel(to_html("dB", frmt='b'), self)
self.chk_log_freq = QCheckBox(self)
self.chk_log_freq.setObjectName("chk_log_freq")
self.chk_log_freq.setToolTip("<span>Logarithmic scale for y-axis.</span>")
self.chk_log_freq.setChecked(True)
self.lbl_log_bottom_freq = QLabel(to_html("min =", frmt='bi'), self)
self.lbl_log_bottom_freq.setVisible(self.chk_log_freq.isChecked())
self.led_log_bottom_freq = QLineEdit(self)
self.led_log_bottom_freq.setText(str(self.bottom_f))
self.led_log_bottom_freq.setToolTip("<span>Minimum display value for log. scale.</span>")
self.led_log_bottom_freq.setVisible(self.chk_log_freq.isChecked())
if not self.chk_log_freq.isChecked():
self.bottom_f = 0
lbl_re_im_freq = QLabel(to_html("Re / Im", frmt='b'), self)
self.chk_re_im_freq = QCheckBox(self)
self.chk_re_im_freq.setObjectName("chk_re_im_freq")
self.chk_re_im_freq.setToolTip("<span>Show real and imaginary part of spectrum</span>")
self.chk_re_im_freq.setChecked(False)
self.lbl_win_fft = QLabel(to_html("Window", frmt='bi'), self)
self.cmb_win_fft = QComboBox(self)
self.cmb_win_fft.addItems(get_window_names())
self.cmb_win_fft.setToolTip("FFT window type.")
qset_cmb_box(self.cmb_win_fft, self.window_name)
self.cmb_win_fft_variant = QComboBox(self)
self.cmb_win_fft_variant.setToolTip("FFT window variant.")
self.cmb_win_fft_variant.setVisible(False)
self.lblWinPar1 = QLabel("Param1")
self.ledWinPar1 = QLineEdit(self)
self.ledWinPar1.setText("1")
self.ledWinPar1.setObjectName("ledWinPar1")
self.lblWinPar2 = QLabel("Param2")
self.ledWinPar2 = QLineEdit(self)
self.ledWinPar2.setText("2")
self.ledWinPar2.setObjectName("ledWinPar2")
self.chk_Hf = QCheckBox(self)
self.chk_Hf.setObjectName("chk_Hf")
self.chk_Hf.setToolTip("<span>Show ideal frequency response, calculated "
"from the filter coefficients.</span>")
self.chk_Hf.setChecked(False)
self.chk_Hf_lbl = QLabel(to_html("H_id (f)", frmt="bi"), self)
lbl_show_info_freq = QLabel(to_html("Info", frmt='b'), self)
self.chk_show_info_freq = QCheckBox(self)
self.chk_show_info_freq.setObjectName("chk_show_info_freq")
self.chk_show_info_freq.setToolTip("<span>Show infos about signal power "
"and window properties.</span>")
self.chk_show_info_freq.setChecked(False)
layH_ctrl_freq = QHBoxLayout()
layH_ctrl_freq.addWidget(lbl_plt_freq_title)
layH_ctrl_freq.addStretch(1)
layH_ctrl_freq.addWidget(self.lbl_plt_freq_stim)
layH_ctrl_freq.addWidget(self.cmb_plt_freq_stim)
#
layH_ctrl_freq.addWidget(self.lbl_plt_freq_stmq)
layH_ctrl_freq.addWidget(self.cmb_plt_freq_stmq)
#
layH_ctrl_freq.addWidget(lbl_plt_freq_resp)
layH_ctrl_freq.addWidget(self.cmb_plt_freq_resp)
#
layH_ctrl_freq.addWidget(self.chk_Hf_lbl)
layH_ctrl_freq.addWidget(self.chk_Hf)
layH_ctrl_freq.addStretch(1)
layH_ctrl_freq.addWidget(lbl_log_freq)
layH_ctrl_freq.addWidget(self.chk_log_freq)
layH_ctrl_freq.addWidget(self.lbl_log_bottom_freq)
layH_ctrl_freq.addWidget(self.led_log_bottom_freq)
layH_ctrl_freq.addStretch(1)
layH_ctrl_freq.addWidget(lbl_re_im_freq)
layH_ctrl_freq.addWidget(self.chk_re_im_freq)
layH_ctrl_freq.addStretch(2)
layH_ctrl_freq.addWidget(self.lbl_win_fft)
layH_ctrl_freq.addWidget(self.cmb_win_fft)
layH_ctrl_freq.addWidget(self.cmb_win_fft_variant)
layH_ctrl_freq.addWidget(self.lblWinPar1)
layH_ctrl_freq.addWidget(self.ledWinPar1)
layH_ctrl_freq.addWidget(self.lblWinPar2)
layH_ctrl_freq.addWidget(self.ledWinPar2)
layH_ctrl_freq.addStretch(1)
layH_ctrl_freq.addWidget(lbl_show_info_freq)
layH_ctrl_freq.addWidget(self.chk_show_info_freq)
layH_ctrl_freq.addStretch(10)
#layH_ctrl_freq.setContentsMargins(*params['wdg_margins'])
self.wdg_ctrl_freq = QWidget(self)
self.wdg_ctrl_freq.setLayout(layH_ctrl_freq)
# ---- end Frequency Domain ------------------
# ---------------------------------------------------------------
# Controls for stimuli
# ---------------------------------------------------------------
lbl_title_stim = QLabel("<b>Stimulus:</b>", self)
self.lblStimulus = QLabel(to_html("Type", frmt='bi'), self)
self.cmbStimulus = QComboBox(self)
self.cmbStimulus.addItems(["None","Impulse","Step","StepErr","Cos","Sine", "Chirp",
"Triang","Saw","Rect","Comb","AM","PM / FM","Formula"])
self.cmbStimulus.setToolTip("Stimulus type.")
qset_cmb_box(self.cmbStimulus, self.stim)
self.chk_stim_bl = QCheckBox("BL", self)
self.chk_stim_bl.setToolTip("<span>The signal is bandlimited to the Nyquist frequency "
"to avoid aliasing. However, it is much slower to generate "
"than the regular version.</span>")
self.chk_stim_bl.setChecked(True)
self.chk_stim_bl.setObjectName("stim_bl")
self.cmbChirpMethod = QComboBox(self)
for t in [("Lin","Linear"),("Square","Quadratic"),("Log", "Logarithmic"), ("Hyper", "Hyperbolic")]:
self.cmbChirpMethod.addItem(*t)
qset_cmb_box(self.cmbChirpMethod, self.chirp_method, data=False)
self.chk_scale_impz_f = QCheckBox("Scale", self)
self.chk_scale_impz_f.setToolTip("<span>Scale the FFT of the impulse response with <i>N<sub>FFT</sub></i> "
"so that it has the same magnitude as |H(f)|. DC and Noise need to be "
"turned off.</span>")
self.chk_scale_impz_f.setChecked(True)
self.chk_scale_impz_f.setObjectName("scale_impz_f")
self.lblDC = QLabel(to_html("DC =", frmt='bi'), self)
self.ledDC = QLineEdit(self)
self.ledDC.setText(str(self.DC))
self.ledDC.setToolTip("DC Level")
self.ledDC.setObjectName("stimDC")
layHCmbStim = QHBoxLayout()
layHCmbStim.addWidget(self.cmbStimulus)
layHCmbStim.addWidget(self.chk_stim_bl)
layHCmbStim.addWidget(self.chk_scale_impz_f)
layHCmbStim.addWidget(self.cmbChirpMethod)
#----------------------------------------------
self.lblAmp1 = QLabel(to_html(" A_1", frmt='bi') + " =", self)
self.ledAmp1 = QLineEdit(self)
self.ledAmp1.setText(str(self.A1))
self.ledAmp1.setToolTip("Stimulus amplitude, complex values like 3j - 1 are allowed")
self.ledAmp1.setObjectName("stimAmp1")
self.lblAmp2 = QLabel(to_html(" A_2", frmt='bi') + " =", self)
self.ledAmp2 = QLineEdit(self)
self.ledAmp2.setText(str(self.A2))
self.ledAmp2.setToolTip("Stimulus amplitude 2, complex values like 3j - 1 are allowed")
self.ledAmp2.setObjectName("stimAmp2")
#----------------------------------------------
self.lblPhi1 = QLabel(to_html(" φ_1", frmt='bi') + " =", self)
self.ledPhi1 = QLineEdit(self)
self.ledPhi1.setText(str(self.phi1))
self.ledPhi1.setToolTip("Stimulus phase")
self.ledPhi1.setObjectName("stimPhi1")
self.lblPhU1 = QLabel(to_html("°", frmt='b'), self)
self.lblPhi2 = QLabel(to_html(" φ_2", frmt='bi') + " =", self)
self.ledPhi2 = QLineEdit(self)
self.ledPhi2.setText(str(self.phi2))
self.ledPhi2.setToolTip("Stimulus phase 2")
self.ledPhi2.setObjectName("stimPhi2")
self.lblPhU2 = QLabel(to_html("°", frmt='b'), self)
#----------------------------------------------
self.lblFreq1 = QLabel(to_html(" f_1", frmt='bi') + " =", self)
self.ledFreq1 = QLineEdit(self)
self.ledFreq1.setText(str(self.f1))
self.ledFreq1.setToolTip("Stimulus frequency 1")
self.ledFreq1.setObjectName("stimFreq1")
self.lblFreqUnit1 = QLabel("f_S", self)
self.lblFreq2 = QLabel(to_html(" f_2", frmt='bi') + " =", self)
self.ledFreq2 = QLineEdit(self)
self.ledFreq2.setText(str(self.f2))
self.ledFreq2.setToolTip("Stimulus frequency 2")
self.ledFreq2.setObjectName("stimFreq2")
self.lblFreqUnit2 = QLabel("f_S", self)
#----------------------------------------------
self.lblNoise = QLabel(to_html(" Noise", frmt='bi'), self)
self.cmbNoise = QComboBox(self)
self.cmbNoise.addItems(["None","Gauss","Uniform","PRBS"])
self.cmbNoise.setToolTip("Type of additive noise.")
qset_cmb_box(self.cmbNoise, self.noise)
self.lblNoi = QLabel("not initialized", self)
self.ledNoi = QLineEdit(self)
self.ledNoi.setText(str(self.noi))
self.ledNoi.setToolTip("not initialized")
self.ledNoi.setObjectName("stimNoi")
layGStim = QGridLayout()
layGStim.addWidget(self.lblStimulus, 0, 0)
layGStim.addWidget(self.lblDC, 1, 0)
layGStim.addLayout(layHCmbStim, 0, 1)
layGStim.addWidget(self.ledDC, 1, 1)
layGStim.addWidget(self.lblAmp1, 0, 2)
layGStim.addWidget(self.lblAmp2, 1, 2)
layGStim.addWidget(self.ledAmp1, 0, 3)
layGStim.addWidget(self.ledAmp2, 1, 3)
layGStim.addWidget(self.lblPhi1, 0, 4)
layGStim.addWidget(self.lblPhi2, 1, 4)
layGStim.addWidget(self.ledPhi1, 0, 5)
layGStim.addWidget(self.ledPhi2, 1, 5)
layGStim.addWidget(self.lblPhU1, 0, 6)
layGStim.addWidget(self.lblPhU2, 1, 6)
layGStim.addWidget(self.lblFreq1, 0, 7)
layGStim.addWidget(self.lblFreq2, 1, 7)
layGStim.addWidget(self.ledFreq1, 0, 8)
layGStim.addWidget(self.ledFreq2, 1, 8)
layGStim.addWidget(self.lblFreqUnit1, 0, 9)
layGStim.addWidget(self.lblFreqUnit2, 1, 9)
layGStim.addWidget(self.lblNoise, 0, 10)
layGStim.addWidget(self.lblNoi, 1, 10)
layGStim.addWidget(self.cmbNoise, 0, 11)
layGStim.addWidget(self.ledNoi, 1, 11)
#----------------------------------------------
self.lblStimFormula = QLabel(to_html("x =", frmt='bi'), self)
self.ledStimFormula = QLineEdit(self)
self.ledStimFormula.setText(str(self.stim_formula))
self.ledStimFormula.setToolTip("<span>Enter formula for stimulus in numexpr syntax"
"</span>")
self.ledStimFormula.setObjectName("stimFormula")
layH_ctrl_stim_formula = QHBoxLayout()
layH_ctrl_stim_formula.addWidget(self.lblStimFormula)
layH_ctrl_stim_formula.addWidget(self.ledStimFormula,10)
#----------------------------------------------
#layG_ctrl_stim = QGridLayout()
layH_ctrl_stim_par = QHBoxLayout()
layH_ctrl_stim_par.addLayout(layGStim)
layV_ctrl_stim = QVBoxLayout()
layV_ctrl_stim.addLayout(layH_ctrl_stim_par)
layV_ctrl_stim.addLayout(layH_ctrl_stim_formula)
layH_ctrl_stim = QHBoxLayout()
layH_ctrl_stim.addWidget(lbl_title_stim)
layH_ctrl_stim.addStretch(1)
layH_ctrl_stim.addLayout(layV_ctrl_stim)
layH_ctrl_stim.addStretch(10)
self.wdg_ctrl_stim = QWidget(self)
self.wdg_ctrl_stim.setLayout(layH_ctrl_stim)
# --------- end stimuli ---------------------------------
# frequency widgets require special handling as they are scaled with f_s
self.ledFreq1.installEventFilter(self)
self.ledFreq2.installEventFilter(self)
#----------------------------------------------------------------------
# LOCAL SIGNALS & SLOTs
#----------------------------------------------------------------------
# --- run control ---
self.led_N_start.editingFinished.connect(self.update_N)
self.led_N_points.editingFinished.connect(self.update_N)
# --- frequency control ---
# careful! currentIndexChanged passes the current index to _update_win_fft
self.cmb_win_fft.currentIndexChanged.connect(self._update_win_fft)
self.ledWinPar1.editingFinished.connect(self._read_param1)
self.ledWinPar2.editingFinished.connect(self._read_param2)
# --- stimulus control ---
self.chk_stim_options.clicked.connect(self._show_stim_options)
self.chk_stim_bl.clicked.connect(self._enable_stim_widgets)
self.cmbStimulus.currentIndexChanged.connect(self._enable_stim_widgets)
self.cmbNoise.currentIndexChanged.connect(self._update_noi)
self.ledNoi.editingFinished.connect(self._update_noi)
self.ledAmp1.editingFinished.connect(self._update_amp1)
self.ledAmp2.editingFinished.connect(self._update_amp2)
self.ledPhi1.editingFinished.connect(self._update_phi1)
self.ledPhi2.editingFinished.connect(self._update_phi2)
self.cmbChirpMethod.currentIndexChanged.connect(self._update_chirp_method)
self.ledDC.editingFinished.connect(self._update_DC)
self.ledStimFormula.editingFinished.connect(self._update_stim_formula)
#------------------------------------------------------------------------------
def eventFilter(self, source, event):
"""
Filter all events generated by the monitored widgets. Source and type
of all events generated by monitored objects are passed to this eventFilter,
evaluated and passed on to the next hierarchy level.
- When a QLineEdit widget gains input focus (``QEvent.FocusIn``), display
the stored value from filter dict with full precision
- When a key is pressed inside the text field, set the `spec_edited` flag
to True.
- When a QLineEdit widget loses input focus (``QEvent.FocusOut``), store
current value normalized to f_S with full precision (only if
``spec_edited == True``) and display the stored value in selected format
"""
def _store_entry(source):
if self.spec_edited:
if source.objectName() == "stimFreq1":
self.f1 = safe_eval(source.text(), self.f1 * fb.fil[0]['f_S'],
return_type='float') / fb.fil[0]['f_S']
source.setText(str(params['FMT'].format(self.f1 * fb.fil[0]['f_S'])))
elif source.objectName() == "stimFreq2":
self.f2 = safe_eval(source.text(), self.f2 * fb.fil[0]['f_S'],
return_type='float') / fb.fil[0]['f_S']
source.setText(str(params['FMT'].format(self.f2 * fb.fil[0]['f_S'])))
self.spec_edited = False # reset flag
self.sig_tx.emit({'sender':__name__, 'ui_changed':'stim'})
# if isinstance(source, QLineEdit):
# if source.objectName() in {"stimFreq1","stimFreq2"}:
if event.type() in {QEvent.FocusIn,QEvent.KeyPress, QEvent.FocusOut}:
if event.type() == QEvent.FocusIn:
self.spec_edited = False
self.load_fs()
elif event.type() == QEvent.KeyPress:
self.spec_edited = True # entry has been changed
key = event.key()
if key in {Qt.Key_Return, Qt.Key_Enter}:
_store_entry(source)
elif key == Qt.Key_Escape: # revert changes
self.spec_edited = False
if source.objectName() == "stimFreq1":
source.setText(str(params['FMT'].format(self.f1 * fb.fil[0]['f_S'])))
elif source.objectName() == "stimFreq2":
source.setText(str(params['FMT'].format(self.f2 * fb.fil[0]['f_S'])))
elif event.type() == QEvent.FocusOut:
_store_entry(source)
# Call base class method to continue normal event processing:
return super(PlotImpz_UI, self).eventFilter(source, event)
#-------------------------------------------------------------
def _show_stim_options(self):
"""
Hide / show panel with stimulus options
"""
self.wdg_ctrl_stim.setVisible(self.chk_stim_options.isChecked())
def _enable_stim_widgets(self):
""" Enable / disable widgets depending on the selected stimulus"""
self.stim = qget_cmb_box(self.cmbStimulus, data=False)
f1_en = self.stim in {"Cos","Sine","Chirp","PM / FM","AM","Formula","Rect","Saw","Triang","Comb"}
f2_en = self.stim in {"Cos","Sine","Chirp","PM / FM","AM","Formula"}
dc_en = self.stim not in {"Step", "StepErr"}
self.chk_stim_bl.setVisible(self.stim in {"Triang", "Saw", "Rect"})
self.lblAmp1.setVisible(self.stim != "None")
self.ledAmp1.setVisible(self.stim != "None")
self.chk_scale_impz_f.setVisible(self.stim == 'Impulse')
self.chk_scale_impz_f.setEnabled((self.noi == 0 or self.cmbNoise.currentText() == 'None')\
and self.DC == 0)
self.cmbChirpMethod.setVisible(self.stim == 'Chirp')
self.lblPhi1.setVisible(f1_en)
self.ledPhi1.setVisible(f1_en)
self.lblPhU1.setVisible(f1_en)
self.lblFreq1.setVisible(f1_en)
self.ledFreq1.setVisible(f1_en)
self.lblFreqUnit1.setVisible(f1_en)
self.lblFreq2.setVisible(f2_en)
self.ledFreq2.setVisible(f2_en)
self.lblFreqUnit2.setVisible(f2_en)
self.lblAmp2.setVisible(f2_en and self.stim != "Chirp")
self.ledAmp2.setVisible(f2_en and self.stim != "Chirp")
self.lblPhi2.setVisible(f2_en and self.stim != "Chirp")
self.ledPhi2.setVisible(f2_en and self.stim != "Chirp")
self.lblPhU2.setVisible(f2_en and self.stim != "Chirp")
self.lblDC.setVisible(dc_en)
self.ledDC.setVisible(dc_en)
self.lblStimFormula.setVisible(self.stim == "Formula")
self.ledStimFormula.setVisible(self.stim == "Formula")
self.sig_tx.emit({'sender':__name__, 'ui_changed':'stim'})
#-------------------------------------------------------------
def load_fs(self):
"""
Reload sampling frequency from filter dictionary and transform
the displayed frequency spec input fields according to the units
setting (i.e. f_S). Spec entries are always stored normalized w.r.t. f_S
in the dictionary; when f_S or the unit are changed, only the displayed values
of the frequency entries are updated, not the dictionary!
load_fs() is called during init and when the frequency unit or the
sampling frequency have been changed.
It should be called when sigSpecsChanged or sigFilterDesigned is emitted
at another place, indicating that a reload is required.
"""
# recalculate displayed freq spec values for (maybe) changed f_S
if self.ledFreq1.hasFocus():
# widget has focus, show full precision
self.ledFreq1.setText(str(self.f1 * fb.fil[0]['f_S']))
elif self.ledFreq2.hasFocus():
# widget has focus, show full precision
self.ledFreq2.setText(str(self.f2 * fb.fil[0]['f_S']))
else:
# widgets have no focus, round the display
self.ledFreq1.setText(
str(params['FMT'].format(self.f1 * fb.fil[0]['f_S'])))
self.ledFreq2.setText(
str(params['FMT'].format(self.f2 * fb.fil[0]['f_S'])))
def _update_amp1(self):
""" Update value for self.A1 from QLineEditWidget"""
self.A1 = safe_eval(self.ledAmp1.text(), self.A1, return_type='cmplx')
self.ledAmp1.setText(str(self.A1))
self.sig_tx.emit({'sender':__name__, 'ui_changed':'a1'})
def _update_amp2(self):
""" Update value for self.A2 from the QLineEditWidget"""
self.A2 = safe_eval(self.ledAmp2.text(), self.A2, return_type='cmplx')
self.ledAmp2.setText(str(self.A2))
self.sig_tx.emit({'sender':__name__, 'ui_changed':'a2'})
def _update_phi1(self):
""" Update value for self.phi1 from QLineEditWidget"""
self.phi1 = safe_eval(self.ledPhi1.text(), self.phi1, return_type='float')
self.ledPhi1.setText(str(self.phi1))
self.sig_tx.emit({'sender':__name__, 'ui_changed':'phi1'})
def _update_phi2(self):
""" Update value for self.phi2 from the QLineEditWidget"""
self.phi2 = safe_eval(self.ledPhi2.text(), self.phi2, return_type='float')
self.ledPhi2.setText(str(self.phi2))
self.sig_tx.emit({'sender':__name__, 'ui_changed':'phi2'})
def _update_chirp_method(self):
""" Update value for self.chirp_method from the QLineEditWidget"""
self.chirp_method = qget_cmb_box(self.cmbChirpMethod) # read current data string
self.sig_tx.emit({'sender':__name__, 'ui_changed':'chirp_method'})
def _update_noi(self):
""" Update type + value + label for self.noi for noise"""
self.noise = qget_cmb_box(self.cmbNoise, data=False).lower()
self.lblNoi.setVisible(self.noise!='none')
self.ledNoi.setVisible(self.noise!='none')
if self.noise!='none':
self.noi = safe_eval(self.ledNoi.text(), 0, return_type='cmplx')
self.ledNoi.setText(str(self.noi))
if self.noise == 'gauss':
self.lblNoi.setText(to_html(" σ =", frmt='bi'))
self.ledNoi.setToolTip("<span>Standard deviation of statistical process,"
"noise power is <i>P</i> = σ<sup>2</sup></span>")
elif self.noise == 'uniform':
self.lblNoi.setText(to_html(" Δ =", frmt='bi'))
self.ledNoi.setToolTip("<span>Interval size for uniformly distributed process "
"(e.g. quantization step size for quantization noise), "
"centered around 0. Noise power is "
"<i>P</i> = Δ<sup>2</sup>/12.</span>")
elif self.noise == 'prbs':
self.lblNoi.setText(to_html(" A =", frmt='bi'))
self.ledNoi.setToolTip("<span>Amplitude of bipolar Pseudorandom Binary Sequence. "
"Noise power is <i>P</i> = A<sup>2</sup>.</span>")
self.sig_tx.emit({'sender':__name__, 'ui_changed':'noi'})
def _update_DC(self):
""" Update value for self.DC from the QLineEditWidget"""
self.DC = safe_eval(self.ledDC.text(), 0, return_type='cmplx')
self.ledDC.setText(str(self.DC))
self.sig_tx.emit({'sender':__name__, 'ui_changed':'dc'})
def _update_stim_formula(self):
"""Update string with formula to be evaluated by numexpr"""
self.stim_formula = self.ledStimFormula.text().strip()
self.ledStimFormula.setText(str(self.stim_formula))
self.sig_tx.emit({'sender':__name__, 'ui_changed':'stim_formula'})
# -------------------------------------------------------------------------
def update_N(self, emit=True):
# called directly from impz or locally
# between local triggering and updates upstream
"""
Update values for self.N and self.N_start from the QLineEditWidget,
update the window and fire "ui_changed"
"""
if not isinstance(emit, bool):
logger.error("update N: emit={0}".format(emit))
self.N_start = safe_eval(self.led_N_start.text(), self.N_start, return_type='int', sign='poszero')
self.led_N_start.setText(str(self.N_start)) # update widget
self.N_user = safe_eval(self.led_N_points.text(), self.N_user, return_type='int', sign='poszero')
if self.N_user == 0: # automatic calculation
self.N = self.calc_n_points(self.N_user) # widget remains set to 0
self.led_N_points.setText("0") # update widget
else:
self.N = self.N_user
self.led_N_points.setText(str(self.N)) # update widget
self.N_end = self.N + self.N_start # total number of points to be calculated: N + N_start
# FFT window needs to be updated due to changed number of data points
self._update_win_fft(emit=False) # don't emit anything here
if emit:
self.sig_tx.emit({'sender':__name__, 'ui_changed':'N'})
def _read_param1(self):
"""Read out textbox when editing is finished and update dict and fft window"""
param = safe_eval(self.ledWinPar1.text(), self.win_dict['par'][0]['val'],
return_type='float')
if param < self.win_dict['par'][0]['min']:
param = self.win_dict['par'][0]['min']
elif param > self.win_dict['par'][0]['max']:
param = self.win_dict['par'][0]['max']
self.ledWinPar1.setText(str(param))
self.win_dict['par'][0]['val'] = param
self._update_win_fft()
def _read_param2(self):
"""Read out textbox when editing is finished and update dict and fft window"""
param = safe_eval(self.ledWinPar2.text(), self.win_dict['par'][1]['val'],
return_type='float')
if param < self.win_dict['par'][1]['min']:
param = self.win_dict['par'][1]['min']
elif param > self.win_dict['par'][1]['max']:
param = self.win_dict['par'][1]['max']
self.ledWinPar2.setText(str(param))
self.win_dict['par'][1]['val'] = param
self._update_win_fft()
#------------------------------------------------------------------------------
def _update_win_fft(self, arg=None, emit=True):
"""
Update window type for FFT with different arguments:
- signal-slot connection to combo-box -> index (int), absorbed by `arg`
emit is not set -> emit=True
- called by _read_param() -> empty -> emit=True
- called by update_N(emit=False)
"""
if not isinstance(emit, bool):
logger.error("update win: emit={0}".format(emit))
self.window_name = qget_cmb_box(self.cmb_win_fft, data=False)
self.win = calc_window_function(self.win_dict, self.window_name,
N=self.N, sym=False)
n_par = self.win_dict['n_par']
self.lblWinPar1.setVisible(n_par > 0)
self.ledWinPar1.setVisible(n_par > 0)
self.lblWinPar2.setVisible(n_par > 1)
self.ledWinPar2.setVisible(n_par > 1)
if n_par > 0:
self.lblWinPar1.setText(to_html(self.win_dict['par'][0]['name'] + " =", frmt='bi'))
self.ledWinPar1.setText(str(self.win_dict['par'][0]['val']))
self.ledWinPar1.setToolTip(self.win_dict['par'][0]['tooltip'])
if n_par > 1:
self.lblWinPar2.setText(to_html(self.win_dict['par'][1]['name'] + " =", frmt='bi'))
self.ledWinPar2.setText(str(self.win_dict['par'][1]['val']))
self.ledWinPar2.setToolTip(self.win_dict['par'][1]['tooltip'])
self.nenbw = self.N * np.sum(np.square(self.win)) / (np.square(np.sum(self.win)))
self.cgain = np.sum(self.win) / self.N # coherent gain
self.win /= self.cgain # correct gain for periodic signals
# only emit a signal for local triggers to prevent infinite loop:
# - signal-slot connection passes a bool or an integer
# - local function calls don't pass anything
if emit is True:
self.sig_tx.emit({'sender':__name__, 'ui_changed':'win'})
# ... but always notify the FFT widget via sig_tx_fft
self.sig_tx_fft.emit({'sender':__name__, 'view_changed':'win'})
#------------------------------------------------------------------------------
def show_fft_win(self):
"""
Pop-up FFT window
"""
if self.but_fft_win.isChecked():
qstyle_widget(self.but_fft_win, "changed")
else:
qstyle_widget(self.but_fft_win, "normal")
if self.fft_window is None: # no handle to the window? Create a new instance
if self.but_fft_win.isChecked():
# Important: Handle to window must be class attribute otherwise it
# (and the attached window) is deleted immediately when it goes out of scope
self.fft_window = Plot_FFT_win(self, win_dict=self.win_dict, sym=False,
title="pyFDA Spectral Window Viewer")
self.sig_tx_fft.connect(self.fft_window.sig_rx)
self.fft_window.sig_tx.connect(self.close_fft_win)
self.fft_window.show() # modeless i.e. non-blocking popup window
else:
if not self.but_fft_win.isChecked():
if self.fft_window is None:
logger.warning("FFT window is already closed!")
else:
self.fft_window.close()
def close_fft_win(self):
self.fft_window = None
self.but_fft_win.setChecked(False)
qstyle_widget(self.but_fft_win, "normal")
#------------------------------------------------------------------------------
def calc_n_points(self, N_user = 0):
"""
Calculate number of points to be displayed, depending on type of filter
(FIR, IIR) and user input. If the user selects 0 points, the number is
calculated automatically.
An improvement would be to calculate the dominant pole and the corresponding
settling time.
"""
if N_user == 0: # set number of data points automatically
if fb.fil[0]['ft'] == 'IIR':
N = 100
else:
N = min(len(fb.fil[0]['ba'][0]),100) # FIR: N = number of coefficients (max. 100)
else:
N = N_user
return N
class Input_Coeffs_UI(QWidget):
"""
Create the UI for the FilterCoeffs class
"""
sig_rx = pyqtSignal(dict) # incoming
sig_tx = pyqtSignal(dict) # outgoing
from pyfda.libs.pyfda_qt_lib import emit
def __init__(self, parent=None):
super(Input_Coeffs_UI, self).__init__(parent)
self.eps = 1.e-6 # initialize tolerance value
self._construct_UI()
# ------------------------------------------------------------------------------
def process_sig_rx(self, dict_sig=None):
"""
Process signals coming from the CSV pop-up window
"""
# logger.debug("PROCESS_SIG_RX:\n{0}".format(pprint_log(dict_sig)))
if 'closeEvent' in dict_sig:
self._close_csv_win()
self.emit({'ui_changed': 'csv'})
return
elif 'ui_changed' in dict_sig:
self._set_load_save_icons() # update icons file <-> clipboard
# inform e.g. the p/z input widget about changes in CSV options
self.emit({'ui_changed': 'csv'})
# ------------------------------------------------------------------------------
def _construct_UI(self):
"""
Intitialize the widget, consisting of:
- top chkbox row
- coefficient table
- two bottom rows with action buttons
"""
self.bfont = QFont()
self.bfont.setBold(True)
self.bifont = QFont()
self.bifont.setBold(True)
self.bifont.setItalic(True)
# q_icon_size = QSize(20, 20) # optional, size is derived from butEnable
#######################################################################
# frmMain
#
# This frame contains all the buttons
#######################################################################
# ---------------------------------------------
# layHDisplay
#
# UI Elements for controlling the display
# ---------------------------------------------
self.butEnable = PushButton(self, icon=QIcon(':/circle-check.svg'), checked=True)
q_icon_size = self.butEnable.iconSize() # <- uncomment this for manual sizing
self.butEnable.setToolTip(
"<span>Show / hide filter coefficients in an editable table."
" For high order systems, table display might be slow.</span>")
fix_formats = ['Dec', 'Hex', 'Bin', 'CSD']
self.cmbFormat = QComboBox(self)
model = self.cmbFormat.model()
item = QtGui.QStandardItem('Float')
item.setData('child', Qt.AccessibleDescriptionRole)
model.appendRow(item)
item = QtGui.QStandardItem('Fixp.:')
item.setData('parent', Qt.AccessibleDescriptionRole)
item.setData(0, QtGui.QFont.Bold)
item.setFlags(item.flags() & ~Qt.ItemIsEnabled) # | Qt.ItemIsSelectable))
model.appendRow(item)
for idx in range(len(fix_formats)):
item = QtGui.QStandardItem(fix_formats[idx])
# item.setForeground(QtGui.QColor('red'))
model.appendRow(item)
self.cmbFormat.insertSeparator(1)
qset_cmb_box(self.cmbFormat, 'float')
self.cmbFormat.setToolTip('Set the display format.')
self.cmbFormat.setSizeAdjustPolicy(QComboBox.AdjustToContents)
self.spnDigits = QSpinBox(self)
self.spnDigits.setRange(0, 16)
self.spnDigits.setValue(params['FMT_ba'])
self.spnDigits.setToolTip("Number of digits to display.")
self.lblDigits = QLabel("Digits", self)
self.lblDigits.setFont(self.bifont)
self.cmbQFrmt = QComboBox(self)
q_formats = [('Norm. Frac.', 'qnfrac'), ('Integer', 'qint'),
('Fractional', 'qfrac')]
for q in q_formats:
self.cmbQFrmt.addItem(*q)
self.lbl_W = QLabel("W = ", self)
self.lbl_W.setFont(self.bifont)
self.ledW = QLineEdit(self)
self.ledW.setToolTip("Specify total wordlength.")
self.ledW.setText("16")
self.ledW.setMaxLength(2) # maximum of 2 digits
self.ledW.setFixedWidth(30) # width of lineedit in points(?)
layHDisplay = QHBoxLayout()
layHDisplay.setAlignment(Qt.AlignLeft)
layHDisplay.addWidget(self.butEnable)
layHDisplay.addWidget(self.cmbFormat)
layHDisplay.addWidget(self.spnDigits)
layHDisplay.addWidget(self.lblDigits)
layHDisplay.addWidget(self.cmbQFrmt)
layHDisplay.addWidget(self.lbl_W)
layHDisplay.addWidget(self.ledW)
layHDisplay.addStretch()
#######################################################################
# frmButtonsCoeffs
#
# This frame contains all buttons for manipulating coefficients
#######################################################################
# -----------------------------------------------------------------
# layHButtonsCoeffs1
#
# UI Elements for loading / storing / manipulating cells and rows
# -----------------------------------------------------------------
self.cmbFilterType = QComboBox(self)
self.cmbFilterType.setObjectName("comboFilterType")
self.cmbFilterType.setToolTip(
"<span>Select between IIR and FIR filter for manual entry."
"Changing the type reloads the filter from the filter dict.</span>")
self.cmbFilterType.addItems(["FIR", "IIR"])
self.cmbFilterType.setSizeAdjustPolicy(QComboBox.AdjustToContents)
self.butAddCells = QPushButton(self)
self.butAddCells.setIcon(QIcon(':/row_insert_above.svg'))
self.butAddCells.setIconSize(q_icon_size)
self.butAddCells.setToolTip(
"<span>Select cells to insert a new cell above each selected cell. "
"Use <SHIFT> or <CTRL> to select multiple cells. "
"When nothing is selected, add a row at the end.</span>")
self.butDelCells = QPushButton(self)
self.butDelCells.setIcon(QIcon(':/row_delete.svg'))
self.butDelCells.setIconSize(q_icon_size)
self.butDelCells.setToolTip(
"<span>Delete selected cell(s) from the table. "
"Use <SHIFT> or <CTRL> to select multiple cells. "
"When nothing is selected, delete the last row.</span>")
self.butSave = QPushButton(self)
self.butSave.setIcon(QIcon(':/upload.svg'))
self.butSave.setIconSize(q_icon_size)
self.butSave.setToolTip(
"<span>Copy coefficient table to filter dict and update all plots"
"and widgets.</span>")
self.butLoad = QPushButton(self)
self.butLoad.setIcon(QIcon(':/download.svg'))
self.butLoad.setIconSize(q_icon_size)
self.butLoad.setToolTip("Reload coefficient table from filter dict.")
self.butClear = QPushButton(self)
self.butClear.setIcon(QIcon(':/trash.svg'))
self.butClear.setIconSize(q_icon_size)
self.butClear.setToolTip("Clear all table entries.")
self.butFromTable = QPushButton(self)
self.butFromTable.setIconSize(q_icon_size)
self.butToTable = QPushButton(self)
self.butToTable.setIconSize(q_icon_size)
self.but_csv_options = PushButton(self, icon=QIcon(':/settings.svg'),
checked=False)
self.but_csv_options.setIconSize(q_icon_size)
self.but_csv_options.setToolTip(
"<span>Select CSV format and whether "
"to copy to/from clipboard or file.</span>")
self._set_load_save_icons() # initialize icon / button settings
layHButtonsCoeffs1 = QHBoxLayout()
layHButtonsCoeffs1.addWidget(self.cmbFilterType)
layHButtonsCoeffs1.addWidget(self.butAddCells)
layHButtonsCoeffs1.addWidget(self.butDelCells)
layHButtonsCoeffs1.addWidget(self.butClear)
layHButtonsCoeffs1.addWidget(self.butSave)
layHButtonsCoeffs1.addWidget(self.butLoad)
layHButtonsCoeffs1.addWidget(self.butFromTable)
layHButtonsCoeffs1.addWidget(self.butToTable)
layHButtonsCoeffs1.addWidget(self.but_csv_options)
layHButtonsCoeffs1.addStretch()
# ----------------------------------------------------------------------
# layHButtonsCoeffs2
#
# Eps / set zero settings
# ---------------------------------------------------------------------
self.butSetZero = QPushButton("= 0", self)
self.butSetZero.setToolTip(
"<span>Set selected coefficients = 0 with a magnitude < ε. "
"When nothing is selected, test the whole table.</span>")
self.butSetZero.setIconSize(q_icon_size)
lblEps = QLabel(self)
lblEps.setText("<b><i>for b, a</i> <</b>")
self.ledEps = QLineEdit(self)
self.ledEps.setToolTip("Specify tolerance value.")
layHButtonsCoeffs2 = QHBoxLayout()
layHButtonsCoeffs2.addWidget(self.butSetZero)
layHButtonsCoeffs2.addWidget(lblEps)
layHButtonsCoeffs2.addWidget(self.ledEps)
layHButtonsCoeffs2.addStretch()
# -------------------------------------------------------------------
# Now put the ButtonsCoeffs HBoxes into frmButtonsCoeffs
# ---------------------------------------------------------------------
layVButtonsCoeffs = QVBoxLayout()
layVButtonsCoeffs.addLayout(layHButtonsCoeffs1)
layVButtonsCoeffs.addLayout(layHButtonsCoeffs2)
layVButtonsCoeffs.setContentsMargins(0, 5, 0, 0)
# This frame encompasses all Quantization Settings
self.frmButtonsCoeffs = QFrame(self)
self.frmButtonsCoeffs.setLayout(layVButtonsCoeffs)
# ######################################################################
# frmQSettings
#
# This frame contains all quantization settings
# ######################################################################
# -------------------------------------------------------------------
# layHW_Scale
#
# QFormat and scale settings
# ---------------------------------------------------------------------
lbl_Q = QLabel("Q =", self)
lbl_Q.setFont(self.bifont)
self.ledWI = QLineEdit(self)
self.ledWI.setToolTip("Specify number of integer bits.")
self.ledWI.setText("0")
self.ledWI.setMaxLength(2) # maximum of 2 digits
self.ledWI.setFixedWidth(30) # width of lineedit in points(?)
self.lblDot = QLabel(".", self) # class attribute, visibility is toggled
self.lblDot.setFont(self.bfont)
self.ledWF = QLineEdit(self)
self.ledWF.setToolTip("Specify number of fractional bits.")
self.ledWF.setText("15")
self.ledWF.setMaxLength(2) # maximum of 2 digits
# self.ledWF.setFixedWidth(30) # width of lineedit in points(?)
self.ledWF.setMaximumWidth(30)
self.lblScale = QLabel("<b><i>Scale</i> =</b>", self)
self.ledScale = QLineEdit(self)
self.ledScale.setToolTip(
"Set the scale for converting float to fixpoint representation.")
self.ledScale.setText(str(1))
self.ledScale.setEnabled(False)
layHWI_WF = QHBoxLayout()
layHWI_WF.addWidget(lbl_Q)
layHWI_WF.addWidget(self.ledWI)
layHWI_WF.addWidget(self.lblDot)
layHWI_WF.addWidget(self.ledWF)
layHWI_WF.addStretch()
layHScale = QHBoxLayout()
layHScale.addWidget(self.lblScale)
layHScale.addWidget(self.ledScale)
layHScale.addStretch()
layHW_Scale = QHBoxLayout()
layHW_Scale.addLayout(layHWI_WF)
layHW_Scale.addLayout(layHScale)
# -------------------------------------------------------------------
# layGQOpt
#
# Quantization / Overflow / MSB / LSB settings
# ---------------------------------------------------------------------
lblQOvfl = QLabel("Ovfl.:", self)
lblQOvfl.setFont(self.bifont)
lblQuant = QLabel("Quant.:", self)
lblQuant.setFont(self.bifont)
self.cmbQOvfl = QComboBox(self)
qOvfl = ['wrap', 'sat']
self.cmbQOvfl.addItems(qOvfl)
qset_cmb_box(self.cmbQOvfl, 'sat')
self.cmbQOvfl.setToolTip("Select overflow behaviour.")
# ComboBox size is adjusted automatically to fit the longest element
self.cmbQOvfl.setSizeAdjustPolicy(QComboBox.AdjustToContents)
layHQOvflOpt = QHBoxLayout()
layHQOvflOpt.addWidget(lblQOvfl)
layHQOvflOpt.addWidget(self.cmbQOvfl)
layHQOvflOpt.addStretch()
self.cmbQuant = QComboBox(self)
qQuant = ['none', 'round', 'fix', 'floor']
self.cmbQuant.addItems(qQuant)
qset_cmb_box(self.cmbQuant, 'round')
self.cmbQuant.setToolTip("Select the kind of quantization.")
self.cmbQuant.setSizeAdjustPolicy(QComboBox.AdjustToContents)
layHQuantOpt = QHBoxLayout()
layHQuantOpt.addWidget(lblQuant)
layHQuantOpt.addWidget(self.cmbQuant)
layHQuantOpt.addStretch()
self.butQuant = QPushButton(self)
self.butQuant.setToolTip(
"<span>Quantize selected coefficients / "
"whole table with specified settings.</span>")
self.butQuant.setIcon(QIcon(':/quantize.svg'))
self.butQuant.setIconSize(q_icon_size)
self.butQuant.setSizePolicy(QSizePolicy.Fixed, QSizePolicy.Fixed)
lblMSBtxt = QLabel(self)
lblMSBtxt.setText("<b><i>MSB</i><sub>10</sub> =</b>")
self.lblMSB = QLabel(self)
layHMSB = QHBoxLayout()
layHMSB.addWidget(lblMSBtxt)
layHMSB.addWidget(self.lblMSB)
layHMSB.addStretch()
lblLSBtxt = QLabel(self)
lblLSBtxt.setText("<b><i>LSB</i><sub>10</sub> =</b>")
self.lblLSB = QLabel(self)
layHLSB = QHBoxLayout()
layHLSB.addWidget(lblLSBtxt)
layHLSB.addWidget(self.lblLSB)
layHLSB.addStretch()
layGQOpt = QGridLayout()
layGQOpt.addLayout(layHQOvflOpt, 0, 0)
layGQOpt.addLayout(layHQuantOpt, 0, 1)
layGQOpt.addWidget(self.butQuant, 0, 2, Qt.AlignCenter)
layGQOpt.addLayout(layHMSB, 1, 0)
layGQOpt.addLayout(layHLSB, 1, 1)
# -------------------------------------------------------------------
# Display MAX
# ---------------------------------------------------------------------
lblMAXtxt = QLabel(self)
lblMAXtxt.setText("<b><i>Max =</i></b>")
self.lblMAX = QLabel(self)
layHCoeffs_MAX = QHBoxLayout()
layHCoeffs_MAX.addWidget(lblMAXtxt)
layHCoeffs_MAX.addWidget(self.lblMAX)
layHCoeffs_MAX.addStretch()
#######################################################################
# Now put all the coefficient HBoxes into frmQSettings
# ---------------------------------------------------------------------
layVButtonsQ = QVBoxLayout()
layVButtonsQ.addLayout(layHW_Scale)
layVButtonsQ.addLayout(layGQOpt)
layVButtonsQ.addLayout(layHCoeffs_MAX)
layVButtonsQ.setContentsMargins(0, 0, 0, 0)
# This frame encompasses all Quantization Settings
self.frmQSettings = QFrame(self)
self.frmQSettings.setLayout(layVButtonsQ)
#######################################################################
# ######################## Main UI Layout ############################
#######################################################################
# layout for frame (UI widget)
layVMainF = QVBoxLayout()
layVMainF.addLayout(layHDisplay)
layVMainF.addWidget(self.frmQSettings)
layVMainF.addWidget(QHLine())
layVMainF.addWidget(self.frmButtonsCoeffs)
# This frame encompasses all UI elements
frmMain = QFrame(self)
frmMain.setLayout(layVMainF)
layVMain = QVBoxLayout()
# the following affects only the first widget (intended here)
layVMain.setAlignment(Qt.AlignTop)
layVMain.addWidget(frmMain)
layVMain.setContentsMargins(*params['wdg_margins'])
self.setLayout(layVMain)
#######################################################################
# --- set initial values from dict ------------
self.spnDigits.setValue(params['FMT_ba'])
self.ledEps.setText(str(self.eps))
# ----------------------------------------------------------------------
# LOCAL SIGNALS & SLOTs
# ----------------------------------------------------------------------
self.but_csv_options.clicked.connect(self._open_csv_win)
# --------------------------------------------------------------------------
def _open_csv_win(self):
"""
Pop-up window for CSV options
"""
if self.but_csv_options.isChecked():
qstyle_widget(self.but_csv_options, "changed")
else:
qstyle_widget(self.but_csv_options, "normal")
if dirs.csv_options_handle is None:
# no handle to the window? Create a new instance
if self.but_csv_options.isChecked():
# Important: Handle to window must be class attribute, otherwise it
# (and the attached window) is deleted immediately when it goes
# out of scope
dirs.csv_options_handle = CSV_option_box(self)
dirs.csv_options_handle.sig_tx.connect(self.process_sig_rx)
dirs.csv_options_handle.show() # modeless i.e. non-blocking popup window
else:
if not self.but_csv_options.isChecked(): # this should not happen
if dirs.csv_options_handle is None:
logger.warning("CSV options window is already closed!")
else:
dirs.csv_options_handle.close()
self.emit({'ui_changed': 'csv'})
# ------------------------------------------------------------------------------
def _close_csv_win(self):
dirs.csv_options_handle = None
self.but_csv_options.setChecked(False)
qstyle_widget(self.but_csv_options, "normal")
# ------------------------------------------------------------------------------
def _set_load_save_icons(self):
"""
Set icons / tooltipps for loading and saving data to / from file or
clipboard depending on selected options.
"""
if params['CSV']['clipboard']:
self.butFromTable.setIcon(QIcon(':/to_clipboard.svg'))
self.butFromTable.setToolTip(
"<span>Copy table to clipboard, SELECTED items are copied as "
"displayed. When nothing is selected, the whole table "
"is copied with full precision in decimal format.</span>")
self.butToTable.setIcon(QIcon(':/from_clipboard.svg'))
self.butToTable.setToolTip("<span>Copy clipboard to table.</span>")
else:
self.butFromTable.setIcon(QIcon(':/save.svg'))
self.butFromTable.setToolTip(
"<span>"
"Save table to file, SELECTED items are copied as "
"displayed. When nothing is selected, the whole table "
"is copied with full precision in decimal format.</span>")
self.butToTable.setIcon(QIcon(':/file.svg'))
self.butToTable.setToolTip("<span>Load table from file.</span>")
if dirs.csv_options_handle is None:
qstyle_widget(self.but_csv_options, "normal")
self.but_csv_options.setChecked(False)
else:
qstyle_widget(self.but_csv_options, "changed")
self.but_csv_options.setChecked(True)
class Firwin(QWidget):
FRMT = 'ba' # output format(s) of filter design routines 'zpk' / 'ba' / 'sos'
# currently, only 'ba' is supported for firwin routines
sig_tx = pyqtSignal(
object) # local signal between FFT widget and FFTWin_Selector
sig_tx_local = pyqtSignal(object)
from pyfda.libs.pyfda_qt_lib import emit
def __init__(self):
QWidget.__init__(self)
self.ft = 'FIR'
win_names_list = [
"Boxcar", "Rectangular", "Barthann", "Bartlett", "Blackman",
"Blackmanharris", "Bohman", "Cosine", "Dolph-Chebyshev", "Flattop",
"General Gaussian", "Gauss", "Hamming", "Hann", "Kaiser",
"Nuttall", "Parzen", "Slepian", "Triangular", "Tukey"
]
self.cur_win_name = "Kaiser" # set initial window type
self.alg = "ichige"
# initialize windows dict with the list above for firwin window settings
self.win_dict = get_windows_dict(win_names_list=win_names_list,
cur_win_name=self.cur_win_name)
# get initial / last setting from dictionary, updating self.win_dict
self._load_dict()
# instantiate FFT window with windows dict
self.fft_widget = Plot_FFT_win(self,
win_dict=self.win_dict,
sym=True,
title="pyFDA FIR Window Viewer")
# hide window initially, this is modeless i.e. a non-blocking popup window
self.fft_widget.hide()
c = Common()
self.rt_dict = c.rt_base_iir
self.rt_dict_add = {
'COM': {
'min': {
'msg':
('a', "<br /><b>Note:</b> Filter order is only a rough "
"approximation and most likely far too low!")
},
'man': {
'msg':
('a', "Enter desired filter order <b><i>N</i></b> and "
"<b>-6 dB</b> pass band corner "
"frequency(ies) <b><i>F<sub>C</sub></i></b> .")
},
},
'LP': {
'man': {},
'min': {}
},
'HP': {
'man': {
'msg': ('a', r"<br /><b>Note:</b> Order needs to be odd!")
},
'min': {}
},
'BS': {
'man': {
'msg': ('a', r"<br /><b>Note:</b> Order needs to be odd!")
},
'min': {}
},
'BP': {
'man': {},
'min': {}
},
}
self.info = """**Windowed FIR filters**
are designed by truncating the
infinite impulse response of an ideal filter with a window function.
The kind of used window has strong influence on ripple etc. of the
resulting filter.
**Design routines:**
``scipy.signal.firwin()``
"""
# self.info_doc = [] is set in self._update_UI()
# ------------------- end of static info for filter tree ---------------
# ------------------------------------------------------------------------------
def process_sig_rx(self, dict_sig=None):
"""
Process local signals from / for
- FFT window widget
- qfft_win_select
"""
logger.debug("SIG_RX - vis: {0}\n{1}".format(self.isVisible(),
pprint_log(dict_sig)))
if dict_sig['id'] == id(self):
logger.warning(f"Stopped infinite loop:\n{pprint_log(dict_sig)}")
# --- signals coming from the FFT window widget or the qfft_win_select
if dict_sig['class'] in {'Plot_FFT_win', 'QFFTWinSelector'}:
if 'closeEvent' in dict_sig: # hide FFT window windget and return
self.hide_fft_wdg()
return
else:
if 'view_changed' in dict_sig and 'fft_win' in dict_sig[
'view_changed']:
# self._update_fft_window() # TODO: needed?
# local connection to FFT window widget and qfft_win_select
self.emit(dict_sig, sig_name='sig_tx_local')
# global connection to upper hierachies
# send notification that filter design has changed
self.emit({'filt_changed': 'firwin'})
# --------------------------------------------------------------------------
def construct_UI(self):
"""
Create additional subwidget(s) needed for filter design:
These subwidgets are instantiated dynamically when needed in
select_filter.py using the handle to the filter object, fb.filObj .
"""
# Combobox for selecting the algorithm to estimate minimum filter order
self.cmb_firwin_alg = QComboBox(self)
self.cmb_firwin_alg.setObjectName('wdg_cmb_firwin_alg')
self.cmb_firwin_alg.addItems(['ichige', 'kaiser', 'herrmann'])
# Minimum size, can be changed in the upper hierarchy levels using layouts:
self.cmb_firwin_alg.setSizeAdjustPolicy(QComboBox.AdjustToContents)
self.cmb_firwin_alg.hide()
self.qfft_win_select = QFFTWinSelector(self, self.win_dict)
# Minimum size, can be changed in the upper hierarchy levels using layouts:
# self.qfft_win_select.setSizeAdjustPolicy(QComboBox.AdjustToContents)
self.but_fft_wdg = QPushButton(self)
self.but_fft_wdg.setIcon(QIcon(":/fft.svg"))
but_height = self.qfft_win_select.sizeHint().height()
self.but_fft_wdg.setIconSize(QSize(but_height, but_height))
self.but_fft_wdg.setFixedSize(QSize(but_height, but_height))
self.but_fft_wdg.setToolTip(
'<span>Show / hide FFT widget (select window type '
' and display its properties).</span>')
self.but_fft_wdg.setCheckable(True)
self.but_fft_wdg.setChecked(False)
self.layHWin1 = QHBoxLayout()
# self.layHWin1.addWidget(self.cmb_firwin_win)
# self.layHWin1.addWidget(self.but_fft_wdg)
self.layHWin1.addWidget(self.cmb_firwin_alg)
self.layHWin2 = QHBoxLayout()
self.layHWin2.addWidget(self.but_fft_wdg)
self.layHWin2.addWidget(self.qfft_win_select)
self.layVWin = QVBoxLayout()
self.layVWin.addLayout(self.layHWin1)
self.layVWin.addLayout(self.layHWin2)
self.layVWin.setContentsMargins(0, 0, 0, 0)
# Widget containing all subwidgets (cmbBoxes, Labels, lineEdits)
self.wdg_fil = QWidget(self)
self.wdg_fil.setObjectName('wdg_fil')
self.wdg_fil.setLayout(self.layVWin)
# ----------------------------------------------------------------------
# GLOBAL SIGNALS & SLOTs
# ----------------------------------------------------------------------
# connect FFT widget to qfft_selector and vice versa and to signals upstream:
self.fft_widget.sig_tx.connect(self.process_sig_rx)
self.qfft_win_select.sig_tx.connect(self.process_sig_rx)
# connect process_sig_rx output to both FFT widgets
self.sig_tx_local.connect(self.fft_widget.sig_rx)
self.sig_tx_local.connect(self.qfft_win_select.sig_rx)
# ----------------------------------------------------------------------
# SIGNALS & SLOTs
# ----------------------------------------------------------------------
self.cmb_firwin_alg.currentIndexChanged.connect(
self._update_fft_window)
self.but_fft_wdg.clicked.connect(self.toggle_fft_wdg)
# ----------------------------------------------------------------------
# ==============================================================================
def _update_fft_window(self):
""" Update window type for FirWin - unneeded at the moment """
self.alg = str(self.cmb_firwin_alg.currentText())
self.emit({'filt_changed': 'firwin'})
# --------------------------------------------------------------------------
def _load_dict(self):
"""
Reload window selection and parameters from filter dictionary
and set UI elements accordingly. load_dict() is called upon
initialization and when the filter is loaded from disk.
"""
self.N = fb.fil[0]['N']
# alg_idx = 0
if 'wdg_fil' in fb.fil[0] and 'firwin' in fb.fil[0]['wdg_fil']\
and type(fb.fil[0]['wdg_fil']['firwin']) is dict:
self.win_dict = fb.fil[0]['wdg_fil']['firwin']
self.emit({'view_changed': 'fft_win_type'}, sig_name='sig_tx_local')
# --------------------------------------------------------------------------
def _store_dict(self):
"""
Store window and parameter settings using `self.win_dict` in filter dictionary.
"""
if 'wdg_fil' not in fb.fil[0]:
fb.fil[0].update({'wdg_fil': {}})
fb.fil[0]['wdg_fil'].update({'firwin': self.win_dict})
# --------------------------------------------------------------------------
def _get_params(self, fil_dict):
"""
Translate parameters from the passed dictionary to instance
parameters, scaling / transforming them if needed.
"""
self.N = fil_dict['N']
self.F_PB = fil_dict['F_PB']
self.F_SB = fil_dict['F_SB']
self.F_PB2 = fil_dict['F_PB2']
self.F_SB2 = fil_dict['F_SB2']
self.F_C = fil_dict['F_C']
self.F_C2 = fil_dict['F_C2']
# firwin amplitude specs are linear (not in dBs)
self.A_PB = fil_dict['A_PB']
self.A_PB2 = fil_dict['A_PB2']
self.A_SB = fil_dict['A_SB']
self.A_SB2 = fil_dict['A_SB2']
# self.alg = 'ichige' # algorithm for determining the minimum order
# self.alg = self.cmb_firwin_alg.currentText()
def _test_N(self):
"""
Warn the user if the calculated order is too high for a reasonable filter
design.
"""
if self.N > 1000:
return qfilter_warning(self, self.N, "FirWin")
else:
return True
def _save(self, fil_dict, arg):
"""
Convert between poles / zeros / gain, filter coefficients (polynomes)
and second-order sections and store all available formats in the passed
dictionary 'fil_dict'.
"""
fil_save(fil_dict, arg, self.FRMT, __name__)
try: # has the order been calculated by a "min" filter design?
fil_dict['N'] = self.N # yes, update filterbroker
except AttributeError:
pass
self._store_dict()
# ------------------------------------------------------------------------------
def firwin(self,
numtaps,
cutoff,
window=None,
pass_zero=True,
scale=True,
nyq=1.0,
fs=None):
"""
FIR filter design using the window method. This is more or less the
same as `scipy.signal.firwin` with the exception that an ndarray with
the window values can be passed as an alternative to the window name.
The parameters "width" (specifying a Kaiser window) and "fs" have been
omitted, they are not needed here.
This function computes the coefficients of a finite impulse response
filter. The filter will have linear phase; it will be Type I if
`numtaps` is odd and Type II if `numtaps` is even.
Type II filters always have zero response at the Nyquist rate, so a
ValueError exception is raised if firwin is called with `numtaps` even and
having a passband whose right end is at the Nyquist rate.
Parameters
----------
numtaps : int
Length of the filter (number of coefficients, i.e. the filter
order + 1). `numtaps` must be even if a passband includes the
Nyquist frequency.
cutoff : float or 1D array_like
Cutoff frequency of filter (expressed in the same units as `nyq`)
OR an array of cutoff frequencies (that is, band edges). In the
latter case, the frequencies in `cutoff` should be positive and
monotonically increasing between 0 and `nyq`. The values 0 and
`nyq` must not be included in `cutoff`.
window : ndarray or string
string: use the window with the passed name from scipy.signal.windows
ndarray: The window values - this is an addition to the original
firwin routine.
pass_zero : bool, optional
If True, the gain at the frequency 0 (i.e. the "DC gain") is 1.
Otherwise the DC gain is 0.
scale : bool, optional
Set to True to scale the coefficients so that the frequency
response is exactly unity at a certain frequency.
That frequency is either:
- 0 (DC) if the first passband starts at 0 (i.e. pass_zero
is True)
- `nyq` (the Nyquist rate) if the first passband ends at
`nyq` (i.e the filter is a single band highpass filter);
center of first passband otherwise
nyq : float, optional
Nyquist frequency. Each frequency in `cutoff` must be between 0
and `nyq`.
Returns
-------
h : (numtaps,) ndarray
Coefficients of length `numtaps` FIR filter.
Raises
------
ValueError
If any value in `cutoff` is less than or equal to 0 or greater
than or equal to `nyq`, if the values in `cutoff` are not strictly
monotonically increasing, or if `numtaps` is even but a passband
includes the Nyquist frequency.
See also
--------
scipy.firwin
"""
cutoff = np.atleast_1d(cutoff) / float(nyq)
# Check for invalid input.
if cutoff.ndim > 1:
raise ValueError("The cutoff argument must be at most "
"one-dimensional.")
if cutoff.size == 0:
raise ValueError("At least one cutoff frequency must be given.")
if cutoff.min() <= 0 or cutoff.max() >= 1:
raise ValueError(
"Invalid cutoff frequency {0}: frequencies must be "
"greater than 0 and less than nyq.".format(cutoff))
if np.any(np.diff(cutoff) <= 0):
raise ValueError("Invalid cutoff frequencies: the frequencies "
"must be strictly increasing.")
pass_nyquist = bool(cutoff.size & 1) ^ pass_zero
if pass_nyquist and numtaps % 2 == 0:
raise ValueError(
"A filter with an even number of coefficients must "
"have zero response at the Nyquist rate.")
# Insert 0 and/or 1 at the ends of cutoff so that the length of cutoff
# is even, and each pair in cutoff corresponds to passband.
cutoff = np.hstack(([0.0] * pass_zero, cutoff, [1.0] * pass_nyquist))
# `bands` is a 2D array; each row gives the left and right edges of
# a passband.
bands = cutoff.reshape(-1, 2)
# Build up the coefficients.
alpha = 0.5 * (numtaps - 1)
m = np.arange(0, numtaps) - alpha
h = 0
for left, right in bands:
h += right * sinc(right * m)
h -= left * sinc(left * m)
if type(window) == str:
# Get and apply the window function.
# from scipy.signal.signaltools import get_window
win = signaltools.get_window(window, numtaps, fftbins=False)
elif type(window) == np.ndarray:
win = window
else:
logger.error(
"The 'window' was neither a string nor a numpy array, "
"it could not be evaluated.")
return None
# apply the window function.
h *= win
# Now handle scaling if desired.
if scale:
# Get the first passband.
left, right = bands[0]
if left == 0:
scale_frequency = 0.0
elif right == 1:
scale_frequency = 1.0
else:
scale_frequency = 0.5 * (left + right)
c = np.cos(np.pi * m * scale_frequency)
s = np.sum(h * c)
h /= s
return h
def _firwin_ord(self, F, W, A, alg):
# http://www.mikroe.com/chapters/view/72/chapter-2-fir-filters/
delta_f = abs(F[1] - F[0]) * 2 # referred to f_Ny
# delta_A = np.sqrt(A[0] * A[1])
if "Kaiser" in self.win_dict and self.win_dict[
'cur_win_name'] == "Kaiser":
N, beta = sig.kaiserord(20 * np.log10(np.abs(fb.fil[0]['A_SB'])),
delta_f)
# logger.warning(f"N={N}, beta={beta}, A_SB={fb.fil[0]['A_SB']}")
self.win_dict["Kaiser"]["par"][0]["val"] = beta
self.qfft_win_select.led_win_par_0.setText(str(beta))
self.qfft_win_select.ui2dict_params(
) # pass changed parameter to other widgets
else:
N = remezord(F, W, A, fs=1, alg=alg)[0]
self.emit({'view_changed': 'fft_win_type'}, sig_name='sig_tx_local')
return N
def LPmin(self, fil_dict):
self._get_params(fil_dict)
self.N = self._firwin_ord([self.F_PB, self.F_SB], [1, 0],
[self.A_PB, self.A_SB],
alg=self.alg)
if not self._test_N():
return -1
fil_dict['F_C'] = (self.F_SB +
self.F_PB) / 2 # average calculated F_PB and F_SB
self._save(
fil_dict,
self.firwin(self.N,
fil_dict['F_C'],
nyq=0.5,
window=self.qfft_win_select.get_window(self.N,
sym=True)))
def LPman(self, fil_dict):
self._get_params(fil_dict)
if not self._test_N():
return -1
logger.warning(self.win_dict["cur_win_name"])
self._save(
fil_dict,
self.firwin(self.N,
fil_dict['F_C'],
nyq=0.5,
window=self.qfft_win_select.get_window(self.N,
sym=True)))
def HPmin(self, fil_dict):
self._get_params(fil_dict)
N = self._firwin_ord([self.F_SB, self.F_PB], [0, 1],
[self.A_SB, self.A_PB],
alg=self.alg)
self.N = round_odd(N) # enforce odd order
if not self._test_N():
return -1
fil_dict['F_C'] = (self.F_SB +
self.F_PB) / 2 # average calculated F_PB and F_SB
self._save(
fil_dict,
self.firwin(self.N,
fil_dict['F_C'],
pass_zero=False,
nyq=0.5,
window=self.qfft_win_select.get_window(self.N,
sym=True)))
def HPman(self, fil_dict):
self._get_params(fil_dict)
self.N = round_odd(self.N) # enforce odd order
if not self._test_N():
return -1
self._save(
fil_dict,
self.firwin(self.N,
fil_dict['F_C'],
pass_zero=False,
nyq=0.5,
window=self.qfft_win_select.get_window(self.N,
sym=True)))
# For BP and BS, F_PB and F_SB have two elements each
def BPmin(self, fil_dict):
self._get_params(fil_dict)
self.N = remezord([self.F_SB, self.F_PB, self.F_PB2, self.F_SB2],
[0, 1, 0], [self.A_SB, self.A_PB, self.A_SB2],
fs=1,
alg=self.alg)[0]
if not self._test_N():
return -1
fil_dict['F_C'] = (self.F_SB +
self.F_PB) / 2 # average calculated F_PB and F_SB
fil_dict['F_C2'] = (self.F_SB2 + self.F_PB2) / 2
self._save(
fil_dict,
self.firwin(self.N, [fil_dict['F_C'], fil_dict['F_C2']],
nyq=0.5,
pass_zero=False,
window=self.qfft_win_select.get_window(self.N,
sym=True)))
def BPman(self, fil_dict):
self._get_params(fil_dict)
if not self._test_N():
return -1
self._save(
fil_dict,
self.firwin(self.N, [fil_dict['F_C'], fil_dict['F_C2']],
nyq=0.5,
pass_zero=False,
window=self.qfft_win_select.get_window(self.N,
sym=True)))
def BSmin(self, fil_dict):
self._get_params(fil_dict)
N = remezord([self.F_PB, self.F_SB, self.F_SB2, self.F_PB2], [1, 0, 1],
[self.A_PB, self.A_SB, self.A_PB2],
fs=1,
alg=self.alg)[0]
self.N = round_odd(N) # enforce odd order
if not self._test_N():
return -1
fil_dict['F_C'] = (self.F_SB +
self.F_PB) / 2 # average calculated F_PB and F_SB
fil_dict['F_C2'] = (self.F_SB2 + self.F_PB2) / 2
self._save(
fil_dict,
self.firwin(self.N, [fil_dict['F_C'], fil_dict['F_C2']],
window=self.qfft_win_select.get_window(self.N,
sym=True),
pass_zero=True,
nyq=0.5))
def BSman(self, fil_dict):
self._get_params(fil_dict)
self.N = round_odd(self.N) # enforce odd order
if not self._test_N():
return -1
self._save(
fil_dict,
self.firwin(self.N, [fil_dict['F_C'], fil_dict['F_C2']],
window=self.qfft_win_select.get_window(self.N,
sym=True),
pass_zero=True,
nyq=0.5))
# ------------------------------------------------------------------------------
def toggle_fft_wdg(self):
"""
Show / hide FFT widget depending on the state of the corresponding button
When widget is shown, trigger an update of the window function.
"""
if self.but_fft_wdg.isChecked():
self.fft_widget.show()
self.emit({'view_changed': 'fft_win_type'},
sig_name='sig_tx_local')
else:
self.fft_widget.hide()
# --------------------------------------------------------------------------
def hide_fft_wdg(self):
"""
The closeEvent caused by clicking the "x" in the FFT widget is caught
there and routed here to only hide the window
"""
self.but_fft_wdg.setChecked(False)
self.fft_widget.hide()
class Plot_3D(QWidget):
"""
Class for various 3D-plots:
- lin / log line plot of H(f)
- lin / log surf plot of H(z)
- optional display of poles / zeros
"""
# incoming, connected in sender widget (locally connected to self.process_sig_rx() )
sig_rx = pyqtSignal(object)
# sig_tx = pyqtSignal(object) # outgoing from process_signals
def __init__(self):
super().__init__()
self.zmin = 0
self.zmax = 4
self.zmin_dB = -80
self.cmap_default = 'RdYlBu'
self.data_changed = True # flag whether data has changed
self.tool_tip = "3D magnitude response |H(z)|"
self.tab_label = "3D"
self._construct_UI()
# ------------------------------------------------------------------------------
def process_sig_rx(self, dict_sig=None):
"""
Process signals coming from the navigation toolbar and from ``sig_rx``
"""
# logger.debug("Processing {0} | data_changed = {1}, visible = {2}"\
# .format(dict_sig, self.data_changed, self.isVisible()))
if self.isVisible():
if 'data_changed' in dict_sig or 'home' in dict_sig or self.data_changed:
self.draw()
self.data_changed = False
else:
if 'data_changed' in dict_sig:
self.data_changed = True
# ------------------------------------------------------------------------------
def _construct_UI(self):
self.but_log = PushButton("dB", checked=False)
self.but_log.setObjectName("but_log")
self.but_log.setToolTip("Logarithmic scale")
self.but_plot_in_UC = PushButton("|z| < 1 ", checked=False)
self.but_plot_in_UC.setObjectName("but_plot_in_UC")
self.but_plot_in_UC.setToolTip("Only plot H(z) within the unit circle")
self.lblBottom = QLabel(to_html("Bottom =", frmt='bi'), self)
self.ledBottom = QLineEdit(self)
self.ledBottom.setObjectName("ledBottom")
self.ledBottom.setText(str(self.zmin))
self.ledBottom.setToolTip("Minimum display value.")
self.lblBottomdB = QLabel("dB", self)
self.lblBottomdB.setVisible(self.but_log.isChecked())
self.lblTop = QLabel(to_html("Top =", frmt='bi'), self)
self.ledTop = QLineEdit(self)
self.ledTop.setObjectName("ledTop")
self.ledTop.setText(str(self.zmax))
self.ledTop.setToolTip("Maximum display value.")
self.lblTopdB = QLabel("dB", self)
self.lblTopdB.setVisible(self.but_log.isChecked())
self.plt_UC = PushButton("UC", checked=True)
self.plt_UC.setObjectName("plt_UC")
self.plt_UC.setToolTip("Plot unit circle")
self.but_PZ = PushButton("P/Z ", checked=True)
self.but_PZ.setObjectName("but_PZ")
self.but_PZ.setToolTip("Plot poles and zeros")
self.but_Hf = PushButton("H(f) ", checked=True)
self.but_Hf.setObjectName("but_Hf")
self.but_Hf.setToolTip("Plot H(f) along the unit circle")
modes = ['None', 'Mesh', 'Surf', 'Contour']
self.cmbMode3D = QComboBox(self)
self.cmbMode3D.addItems(modes)
self.cmbMode3D.setObjectName("cmbShow3D")
self.cmbMode3D.setToolTip("Select 3D-plot mode.")
self.cmbMode3D.setCurrentIndex(0)
self.cmbMode3D.setSizeAdjustPolicy(QComboBox.AdjustToContents)
self.but_colormap_r = PushButton("reverse", checked=True)
self.but_colormap_r.setObjectName("but_colormap_r")
self.but_colormap_r.setToolTip("reverse colormap")
self.cmbColormap = QComboBox(self)
self._init_cmb_colormap(cmap_init=self.cmap_default)
self.cmbColormap.setToolTip("Select colormap")
self.but_colbar = PushButton("Colorbar ", checked=False)
self.but_colbar.setObjectName("chkColBar")
self.but_colbar.setToolTip("Show colorbar")
self.but_lighting = PushButton("Lighting", checked=False)
self.but_lighting.setObjectName("but_lighting")
self.but_lighting.setToolTip("Enable light source")
self.lblAlpha = QLabel(to_html("Alpha", frmt='bi'), self)
self.diaAlpha = QDial(self)
self.diaAlpha.setRange(0, 10)
self.diaAlpha.setValue(10)
self.diaAlpha.setTracking(False) # produce less events when turning
self.diaAlpha.setFixedHeight(30)
self.diaAlpha.setFixedWidth(30)
self.diaAlpha.setWrapping(False)
self.diaAlpha.setToolTip(
"<span>Set transparency for surf and contour plots.</span>")
self.lblHatch = QLabel(to_html("Stride", frmt='bi'), self)
self.diaHatch = QDial(self)
self.diaHatch.setRange(0, 9)
self.diaHatch.setValue(5)
self.diaHatch.setTracking(False) # produce less events when turning
self.diaHatch.setFixedHeight(30)
self.diaHatch.setFixedWidth(30)
self.diaHatch.setWrapping(False)
self.diaHatch.setToolTip("Set line density for various plots.")
self.but_contour_2d = PushButton("Contour2D ", checked=False)
self.but_contour_2d.setObjectName("chkContour2D")
self.but_contour_2d.setToolTip("Plot 2D-contours at z =0")
# ----------------------------------------------------------------------
# LAYOUT for UI widgets
# ----------------------------------------------------------------------
layGControls = QGridLayout()
layGControls.addWidget(self.but_log, 0, 0)
layGControls.addWidget(self.but_plot_in_UC, 1, 0)
layGControls.addWidget(self.lblTop, 0, 2)
layGControls.addWidget(self.ledTop, 0, 4)
layGControls.addWidget(self.lblTopdB, 0, 5)
layGControls.addWidget(self.lblBottom, 1, 2)
layGControls.addWidget(self.ledBottom, 1, 4)
layGControls.addWidget(self.lblBottomdB, 1, 5)
layGControls.setColumnStretch(5, 1)
layGControls.addWidget(self.plt_UC, 0, 6)
layGControls.addWidget(self.but_Hf, 1, 6)
layGControls.addWidget(self.but_PZ, 0, 8)
layGControls.addWidget(self.cmbMode3D, 0, 10)
layGControls.addWidget(self.but_contour_2d, 1, 10)
layGControls.addWidget(self.cmbColormap, 0, 12, 1, 1)
layGControls.addWidget(self.but_colormap_r, 1, 12)
layGControls.addWidget(self.but_lighting, 0, 14)
layGControls.addWidget(self.but_colbar, 1, 14)
layGControls.addWidget(self.lblAlpha, 0, 15)
layGControls.addWidget(self.diaAlpha, 0, 16)
layGControls.addWidget(self.lblHatch, 1, 15)
layGControls.addWidget(self.diaHatch, 1, 16)
# This widget encompasses all control subwidgets
self.frmControls = QFrame(self)
self.frmControls.setObjectName("frmControls")
self.frmControls.setLayout(layGControls)
# ----------------------------------------------------------------------
# mplwidget
# ----------------------------------------------------------------------
# This is the plot pane widget, encompassing the other widgets
self.mplwidget = MplWidget(self)
self.mplwidget.layVMainMpl.addWidget(self.frmControls)
self.mplwidget.layVMainMpl.setContentsMargins(*params['mpl_margins'])
self.mplwidget.mplToolbar.a_he.setEnabled(True)
self.mplwidget.mplToolbar.a_he.info = "manual/plot_3d.html"
self.setLayout(self.mplwidget.layVMainMpl)
self._init_grid() # initialize grid and do initial plot
# ----------------------------------------------------------------------
# GLOBAL SIGNALS & SLOTs
# ----------------------------------------------------------------------
self.sig_rx.connect(self.process_sig_rx)
# ----------------------------------------------------------------------
# LOCAL SIGNALS & SLOTs
# ----------------------------------------------------------------------
self.but_log.clicked.connect(self._log_clicked)
self.ledBottom.editingFinished.connect(self._log_clicked)
self.ledTop.editingFinished.connect(self._log_clicked)
self.but_plot_in_UC.clicked.connect(self._init_grid)
self.plt_UC.clicked.connect(self.draw)
self.but_Hf.clicked.connect(self.draw)
self.but_PZ.clicked.connect(self.draw)
self.cmbMode3D.currentIndexChanged.connect(self.draw)
self.but_colbar.clicked.connect(self.draw)
self.cmbColormap.currentIndexChanged.connect(self.draw)
self.but_colormap_r.clicked.connect(self.draw)
self.but_lighting.clicked.connect(self.draw)
self.diaAlpha.valueChanged.connect(self.draw)
self.diaHatch.valueChanged.connect(self.draw)
self.but_contour_2d.clicked.connect(self.draw)
self.mplwidget.mplToolbar.sig_tx.connect(self.process_sig_rx)
# self.mplwidget.mplToolbar.enable_plot(state = False) # disable initially
# ------------------------------------------------------------------------------
def _init_cmb_colormap(self, cmap_init):
"""
Initialize combobox with available colormaps and try to set it to `cmap_init`
Since matplotlib 3.2 the reversed "*_r" colormaps are no longer contained in
`cm.datad`. They are now obtained by using the `reversed()` method (much simpler!)
`cm.datad` doesn't return the "new" colormaps like viridis, instead the
`colormaps()` method is used.
"""
self.cmbColormap.addItems(
[m for m in colormaps() if not m.endswith("_r")])
idx = self.cmbColormap.findText(cmap_init)
if idx == -1:
idx = 0
self.cmbColormap.setCurrentIndex(idx)
# ------------------------------------------------------------------------------
def _init_grid(self):
""" Initialize (x,y,z) coordinate grid + (re)draw plot."""
phi_UC = np.linspace(0, 2 * pi, 400,
endpoint=True) # angles for unit circle
self.xy_UC = np.exp(1j * phi_UC) # x,y coordinates of unity circle
steps = 100 # number of steps for x, y, r, phi
# cartesian range limits
self.xmin = -1.5
self.xmax = 1.5
self.ymin = -1.5
self.ymax = 1.5
# Polar range limits
rmin = 0
rmax = 1
# Calculate grids for 3D-Plots
dr = rmax / steps * 2 # grid size for polar range
dx = (self.xmax - self.xmin) / steps
dy = (self.ymax - self.ymin) / steps # grid size cartesian range
if self.but_plot_in_UC.isChecked(): # Plot circular range in 3D-Plot
[r,
phi] = np.meshgrid(np.arange(rmin, rmax, dr),
np.linspace(0, 2 * pi, steps, endpoint=True))
self.x = r * cos(phi)
self.y = r * sin(phi)
else: # cartesian grid
[self.x, self.y] = np.meshgrid(np.arange(self.xmin, self.xmax, dx),
np.arange(self.ymin, self.ymax, dy))
self.z = self.x + 1j * self.y # create coordinate grid for complex plane
self.draw() # initial plot
# ------------------------------------------------------------------------------
def init_axes(self):
"""
Initialize and clear the axes to get rid of colorbar
The azimuth / elevation / distance settings of the camera are restored
after clearing the axes. See
http://stackoverflow.com/questions/4575588/matplotlib-3d-plot-with-pyqt4-in-qtabwidget-mplwidget
"""
self._save_axes()
self.mplwidget.fig.clf() # needed to get rid of colorbar
self.ax3d = self.mplwidget.fig.add_subplot(111, projection='3d')
# self.ax3d = self.mplwidget.fig.subplots(nrows=1, ncols=1, projection='3d')
self._restore_axes()
# ------------------------------------------------------------------------------
def _save_axes(self):
"""
Store x/y/z - limits and camera position
"""
try:
self.azim = self.ax3d.azim
self.elev = self.ax3d.elev
self.dist = self.ax3d.dist
self.xlim = self.ax3d.get_xlim3d()
self.ylim = self.ax3d.get_ylim3d()
self.zlim = self.ax3d.get_zlim3d()
except AttributeError: # not yet initialized, set standard values
self.azim = -65
self.elev = 30
self.dist = 10
self.xlim = (self.xmin, self.xmax)
self.ylim = (self.ymin, self.ymax)
self.zlim = (self.zmin, self.zmax)
# ------------------------------------------------------------------------------
def _restore_axes(self):
"""
Restore x/y/z - limits and camera position
"""
if self.mplwidget.mplToolbar.a_lk.isChecked():
self.ax3d.set_xlim3d(self.xlim)
self.ax3d.set_ylim3d(self.ylim)
self.ax3d.set_zlim3d(self.zlim)
self.ax3d.azim = self.azim
self.ax3d.elev = self.elev
self.ax3d.dist = self.dist
# ------------------------------------------------------------------------------
def _log_clicked(self):
"""
Change scale and settings to log / lin when log setting is changed
Update min / max settings when lineEdits have been edited
"""
if self.sender().objectName(
) == 'but_log': # clicking but_log triggered the slot
if self.but_log.isChecked():
self.ledBottom.setText(str(self.zmin_dB))
self.zmax_dB = np.round(20 * log10(self.zmax), 2)
self.ledTop.setText(str(self.zmax_dB))
self.lblTopdB.setVisible(True)
self.lblBottomdB.setVisible(True)
else:
self.ledBottom.setText(str(self.zmin))
self.zmax = np.round(10**(self.zmax_dB / 20), 2)
self.ledTop.setText(str(self.zmax))
self.lblTopdB.setVisible(False)
self.lblBottomdB.setVisible(False)
else: # finishing a lineEdit field triggered the slot
if self.but_log.isChecked():
self.zmin_dB = safe_eval(self.ledBottom.text(),
self.zmin_dB,
return_type='float')
self.ledBottom.setText(str(self.zmin_dB))
self.zmax_dB = safe_eval(self.ledTop.text(),
self.zmax_dB,
return_type='float')
self.ledTop.setText(str(self.zmax_dB))
else:
self.zmin = safe_eval(self.ledBottom.text(),
self.zmin,
return_type='float')
self.ledBottom.setText(str(self.zmin))
self.zmax = safe_eval(self.ledTop.text(),
self.zmax,
return_type='float')
self.ledTop.setText(str(self.zmax))
self.draw()
# ------------------------------------------------------------------------------
def draw(self):
"""
Main drawing entry point: perform the actual plot
"""
self.draw_3d()
# ------------------------------------------------------------------------------
def draw_3d(self):
"""
Draw various 3D plots
"""
self.init_axes()
bb = fb.fil[0]['ba'][0]
aa = fb.fil[0]['ba'][1]
zz = np.array(fb.fil[0]['zpk'][0])
pp = np.array(fb.fil[0]['zpk'][1])
wholeF = fb.fil[0]['freqSpecsRangeType'] != 'half' # not used
f_S = fb.fil[0]['f_S']
N_FFT = params['N_FFT']
alpha = self.diaAlpha.value() / 10.
cmap = cm.get_cmap(str(self.cmbColormap.currentText()))
if self.but_colormap_r.isChecked():
cmap = cmap.reversed() # use reversed colormap
# Number of Lines /step size for H(f) stride, mesh, contour3d:
stride = 10 - self.diaHatch.value()
NL = 3 * self.diaHatch.value() + 5
surf_enabled = qget_cmb_box(self.cmbMode3D, data=False) in {'Surf', 'Contour'}\
or self.but_contour_2d.isChecked()
self.cmbColormap.setEnabled(surf_enabled)
self.but_colormap_r.setEnabled(surf_enabled)
self.but_lighting.setEnabled(surf_enabled)
self.but_colbar.setEnabled(surf_enabled)
self.diaAlpha.setEnabled(surf_enabled
or self.but_contour_2d.isChecked())
# cNorm = colors.Normalize(vmin=0, vmax=values[-1])
# scalarMap = cmx.ScalarMappable(norm=cNorm, cmap=jet)
# -----------------------------------------------------------------------------
# Calculate H(w) along the upper half of unity circle
# -----------------------------------------------------------------------------
[w, H] = sig.freqz(bb, aa, worN=N_FFT, whole=True)
H = np.nan_to_num(H) # replace nans and inf by finite numbers
H_abs = abs(H)
H_max = max(H_abs)
H_min = min(H_abs)
# f = w / (2 * pi) * f_S # translate w to absolute frequencies
# F_min = f[np.argmin(H_abs)]
plevel_rel = 1.05 # height of plotted pole position relative to zmax
zlevel_rel = 0.1 # height of plotted zero position relative to zmax
if self.but_log.isChecked(): # logarithmic scale
# suppress "divide by zero in log10" warnings
old_settings_seterr = np.seterr()
np.seterr(divide='ignore')
bottom = np.floor(max(self.zmin_dB, 20 * log10(H_min)) / 10) * 10
top = self.zmax_dB
top_bottom = top - bottom
zlevel = bottom - top_bottom * zlevel_rel
if self.cmbMode3D.currentText(
) == 'None': # "Poleposition": H(f) plot only
plevel_top = 2 * bottom - zlevel # height of displayed pole position
plevel_btm = bottom
else:
plevel_top = top + top_bottom * (plevel_rel - 1)
plevel_btm = top
np.seterr(**old_settings_seterr)
else: # linear scale
bottom = max(self.zmin, H_min) # min. display value
top = self.zmax # max. display value
top_bottom = top - bottom
# top = zmax_rel * H_max # calculate display top from max. of H(f)
zlevel = bottom + top_bottom * zlevel_rel # height of displayed zero position
if self.cmbMode3D.currentText(
) == 'None': # "Poleposition": H(f) plot only
#H_max = np.clip(max(H_abs), 0, self.zmax)
# make height of displayed poles same to zeros
plevel_top = bottom + top_bottom * zlevel_rel
plevel_btm = bottom
else:
plevel_top = plevel_rel * top
plevel_btm = top
# calculate H(jw)| along the unity circle and |H(z)|, each clipped
# between bottom and top
H_UC = H_mag(bb,
aa,
self.xy_UC,
top,
H_min=bottom,
log=self.but_log.isChecked())
Hmag = H_mag(bb,
aa,
self.z,
top,
H_min=bottom,
log=self.but_log.isChecked())
# ===============================================================
# Plot Unit Circle (UC)
# ===============================================================
if self.plt_UC.isChecked():
# Plot unit circle and marker at (1,0):
self.ax3d.plot(self.xy_UC.real,
self.xy_UC.imag,
ones(len(self.xy_UC)) * bottom,
lw=2,
color='k')
self.ax3d.plot([0.97, 1.03], [0, 0], [bottom, bottom],
lw=2,
color='k')
# ===============================================================
# Plot ||H(f)| along unit circle as 3D-lineplot
# ===============================================================
if self.but_Hf.isChecked():
self.ax3d.plot(self.xy_UC.real,
self.xy_UC.imag,
H_UC,
alpha=0.8,
lw=4)
# draw once more as dashed white line to improve visibility
self.ax3d.plot(self.xy_UC.real, self.xy_UC.imag, H_UC, 'w--', lw=4)
if stride < 10: # plot thin vertical line every stride points on the UC
for k in range(len(self.xy_UC[::stride])):
self.ax3d.plot([
self.xy_UC.real[::stride][k],
self.xy_UC.real[::stride][k]
], [
self.xy_UC.imag[::stride][k],
self.xy_UC.imag[::stride][k]
], [
np.ones(len(self.xy_UC[::stride]))[k] * bottom,
H_UC[::stride][k]
],
linewidth=1,
color=(0.5, 0.5, 0.5))
# ===============================================================
# Plot Poles and Zeros
# ===============================================================
if self.but_PZ.isChecked():
PN_SIZE = 8 # size of P/N symbols
# Plot zero markers at |H(z_i)| = zlevel with "stems":
self.ax3d.plot(zz.real,
zz.imag,
ones(len(zz)) * zlevel,
'o',
markersize=PN_SIZE,
markeredgecolor='blue',
markeredgewidth=2.0,
markerfacecolor='none')
for k in range(len(zz)): # plot zero "stems"
self.ax3d.plot([zz[k].real, zz[k].real],
[zz[k].imag, zz[k].imag], [bottom, zlevel],
linewidth=1,
color='b')
# Plot the poles at |H(z_p)| = plevel with "stems":
self.ax3d.plot(np.real(pp),
np.imag(pp),
plevel_top,
'x',
markersize=PN_SIZE,
markeredgewidth=2.0,
markeredgecolor='red')
for k in range(len(pp)): # plot pole "stems"
self.ax3d.plot([pp[k].real, pp[k].real],
[pp[k].imag, pp[k].imag],
[plevel_btm, plevel_top],
linewidth=1,
color='r')
# ===============================================================
# 3D-Plots of |H(z)| clipped between |H(z)| = top
# ===============================================================
m_cb = cm.ScalarMappable(
cmap=cmap) # normalized proxy object that is mappable
m_cb.set_array(Hmag) # for colorbar
# ---------------------------------------------------------------
# 3D-mesh plot
# ---------------------------------------------------------------
if self.cmbMode3D.currentText() == 'Mesh':
# fig_mlab = mlab.figure(fgcolor=(0., 0., 0.), bgcolor=(1, 1, 1))
# self.ax3d.set_zlim(0,2)
self.ax3d.plot_wireframe(self.x,
self.y,
Hmag,
rstride=5,
cstride=stride,
linewidth=1,
color='gray')
# ---------------------------------------------------------------
# 3D-surface plot
# ---------------------------------------------------------------
# http://stackoverflow.com/questions/28232879/phong-shading-for-shiny-python-3d-surface-plots
elif self.cmbMode3D.currentText() == 'Surf':
if MLAB:
# Mayavi
surf = mlab.surf(self.x,
self.y,
H_mag,
colormap='RdYlBu',
warp_scale='auto')
# Change the visualization parameters.
surf.actor.property.interpolation = 'phong'
surf.actor.property.specular = 0.1
surf.actor.property.specular_power = 5
# s = mlab.contour_surf(self.x, self.y, Hmag, contour_z=0)
mlab.show()
else:
if self.but_lighting.isChecked():
ls = LightSource(azdeg=0,
altdeg=65) # Create light source object
rgb = ls.shade(
Hmag, cmap=cmap) # Shade data, creating an rgb array
cmap_surf = None
else:
rgb = None
cmap_surf = cmap
# s = self.ax3d.plot_surface(self.x, self.y, Hmag,
# alpha=OPT_3D_ALPHA, rstride=1, cstride=1, cmap=cmap,
# linewidth=0, antialiased=False, shade=True, facecolors = rgb)
# s.set_edgecolor('gray')
s = self.ax3d.plot_surface(self.x,
self.y,
Hmag,
alpha=alpha,
rstride=1,
cstride=1,
linewidth=0,
antialiased=False,
facecolors=rgb,
cmap=cmap_surf,
shade=True)
s.set_edgecolor(None)
# ---------------------------------------------------------------
# 3D-Contour plot
# ---------------------------------------------------------------
elif self.cmbMode3D.currentText() == 'Contour':
s = self.ax3d.contourf3D(self.x,
self.y,
Hmag,
NL,
alpha=alpha,
cmap=cmap)
# ---------------------------------------------------------------
# 2D-Contour plot
# TODO: 2D contour plots do not plot correctly together with 3D plots in
# current matplotlib 1.4.3 -> disable them for now
# TODO: zdir = x / y delivers unexpected results -> rather plot max(H)
# along the other axis?
# TODO: colormap is created depending on the zdir = 'z' contour plot
# -> set limits of (all) other plots manually?
if self.but_contour_2d.isChecked():
# self.ax3d.contourf(x, y, Hmag, 20, zdir='x', offset=xmin,
# cmap=cmap, alpha = alpha)#, vmin = bottom)#, vmax = top, vmin = bottom)
# self.ax3d.contourf(x, y, Hmag, 20, zdir='y', offset=ymax,
# cmap=cmap, alpha = alpha)#, vmin = bottom)#, vmax = top, vmin = bottom)
s = self.ax3d.contourf(self.x,
self.y,
Hmag,
NL,
zdir='z',
offset=bottom - (top - bottom) * 0.05,
cmap=cmap,
alpha=alpha)
# plot colorbar for suitable plot modes
if self.but_colbar.isChecked() and (
self.but_contour_2d.isChecked()
or str(self.cmbMode3D.currentText()) in {'Contour', 'Surf'}):
self.colb = self.mplwidget.fig.colorbar(m_cb,
ax=self.ax3d,
shrink=0.8,
aspect=20,
pad=0.02,
fraction=0.08)
# ----------------------------------------------------------------------
# Set view limits and labels
# ----------------------------------------------------------------------
if not self.mplwidget.mplToolbar.a_lk.isChecked():
self.ax3d.set_xlim3d(self.xmin, self.xmax)
self.ax3d.set_ylim3d(self.ymin, self.ymax)
self.ax3d.set_zlim3d(bottom, top)
else:
self._restore_axes()
self.ax3d.set_xlabel('Re') #(fb.fil[0]['plt_fLabel'])
self.ax3d.set_ylabel(
'Im'
) #(r'$ \tau_g(\mathrm{e}^{\mathrm{j} \Omega}) / T_S \; \rightarrow $')
# self.ax3d.set_zlabel(r'$|H(z)|\; \rightarrow $')
self.ax3d.set_title(
r'3D-Plot of $|H(\mathrm{e}^{\mathrm{j} \Omega})|$ and $|H(z)|$')
self.redraw()
# ------------------------------------------------------------------------------
def redraw(self):
"""
Redraw the canvas when e.g. the canvas size has changed
"""
self.mplwidget.redraw()
class AmplitudeSpecs(QWidget):
"""
Build and update widget for entering the amplitude
specifications like A_SB, A_PB etc.
"""
sig_tx = pyqtSignal(
object) # emitted when amplitude unit or spec has been changed
def __init__(self, parent, title="Amplitude Specs"):
"""
Initialize
"""
super(AmplitudeSpecs, self).__init__(parent)
self.title = title
self.qlabels = [] # list with references to QLabel widgets
self.qlineedit = [] # list with references to QLineEdit widgets
self.spec_edited = False # flag whether QLineEdit field has been edited
self._construct_UI()
#------------------------------------------------------------------------------
def _construct_UI(self):
"""
Construct User Interface
"""
amp_units = ["dB", "V", "W"]
bfont = QFont()
bfont.setBold(True)
lblTitle = QLabel(str(self.title), self) # field for widget title
lblTitle.setFont(bfont)
lblTitle.setWordWrap(True)
lblUnits = QLabel("in", self)
self.cmbUnitsA = QComboBox(self)
self.cmbUnitsA.addItems(amp_units)
self.cmbUnitsA.setObjectName("cmbUnitsA")
self.cmbUnitsA.setToolTip(
"<span>Unit for amplitude specifications:"
" dB is attenuation (> 0); levels in V and W have to be < 1.</span>"
)
# fit size dynamically to largest element:
self.cmbUnitsA.setSizeAdjustPolicy(QComboBox.AdjustToContents)
# find index for default unit from dictionary and set the unit
amp_idx = self.cmbUnitsA.findData(fb.fil[0]['amp_specs_unit'])
if amp_idx < 0:
amp_idx = 0
self.cmbUnitsA.setCurrentIndex(amp_idx) # initialize for dBs
layHTitle = QHBoxLayout() # layout for title and unit
layHTitle.addWidget(lblTitle)
layHTitle.addWidget(lblUnits, Qt.AlignLeft)
layHTitle.addWidget(self.cmbUnitsA, Qt.AlignLeft)
layHTitle.addStretch(1)
self.layGSpecs = QGridLayout() # sublayout for spec fields
# set the title as the first (fixed) entry in grid layout. The other
# fields are added and hidden dynamically in _show_entries and _hide_entries()
self.layGSpecs.addLayout(layHTitle, 0, 0, 1, 2)
self.layGSpecs.setAlignment(Qt.AlignLeft)
# This is the top level widget, encompassing the other widgets
self.frmMain = QFrame(self)
self.frmMain.setLayout(self.layGSpecs)
self.layVMain = QVBoxLayout() # Widget main layout
self.layVMain.addWidget(self.frmMain)
self.layVMain.setContentsMargins(*params['wdg_margins'])
self.setLayout(self.layVMain)
self.n_cur_labels = 0 # number of currently visible labels / qlineedits
# - Build a list from all entries in the fil_dict dictionary starting
# with "A" (= amplitude specifications of the current filter)
# - Pass the list to update_UI which recreates the widget
# ATTENTION: Entries need to be converted from QString to str for Py 2
new_labels = [str(l) for l in fb.fil[0] if l[0] == 'A']
self.update_UI(new_labels=new_labels)
#----------------------------------------------------------------------
# LOCAL SIGNALS & SLOTs / EVENT MONITORING
#----------------------------------------------------------------------
self.cmbUnitsA.currentIndexChanged.connect(self._set_amp_unit)
# ^ this also triggers the initial load_dict
# DYNAMIC EVENT MONITORING
# Every time a field is edited, call self._store_entry and
# self.load_dict. This is achieved by dynamically installing and
# removing event filters when creating / deleting subwidgets.
# The event filter monitors the focus of the input fields.
#------------------------------------------------------------------------------
def eventFilter(self, source, event):
"""
Filter all events generated by the QLineEdit widgets. Source and type
of all events generated by monitored objects are passed to this eventFilter,
evaluated and passed on to the next hierarchy level.
- When a QLineEdit widget gains input focus (QEvent.FocusIn`), display
the stored value from filter dict with full precision
- When a key is pressed inside the text field, set the `spec_edited` flag
to True.
- When a QLineEdit widget loses input focus (QEvent.FocusOut`), store
current value in linear format with full precision (only if
`spec_edited`== True) and display the stored value in selected format
"""
if isinstance(source,
QLineEdit): # could be extended for other widgets
if event.type() == QEvent.FocusIn:
self.spec_edited = False
self.load_dict()
# store current entry in case new value can't be evaluated:
fb.data_old = source.text()
elif event.type() == QEvent.KeyPress:
self.spec_edited = True # entry has been changed
key = event.key()
if key in {QtCore.Qt.Key_Return,
QtCore.Qt.Key_Enter}: # store entry
self._store_entry(source)
elif key == QtCore.Qt.Key_Escape: # revert changes
self.spec_edited = False
self.load_dict()
elif event.type() == QEvent.FocusOut:
self._store_entry(source)
# Call base class method to continue normal event processing:
return super(AmplitudeSpecs, self).eventFilter(source, event)
#-------------------------------------------------------------
def update_UI(self, new_labels=()):
"""
Called from filter_specs.update_UI() and target_specs.update_UI().
Set labels and get corresponding values from filter dictionary.
When number of entries has changed, the layout of subwidget is rebuilt,
using
- `self.qlabels`, a list with references to existing QLabel widgets,
- `new_labels`, a list of strings from the filter_dict for the current
filter design
- 'num_new_labels`, their number
- `self.n_cur_labels`, the number of currently visible labels / qlineedit
fields
"""
state = new_labels[0]
new_labels = new_labels[1:]
# W_lbl = max([self.qfm.width(l) for l in new_labels]) # max. label width in pixel
num_new_labels = len(new_labels)
if num_new_labels < self.n_cur_labels: # less new labels/qlineedit fields than before
self._hide_entries(num_new_labels)
elif num_new_labels > self.n_cur_labels: # more new labels, create / show new ones
self._show_entries(num_new_labels)
tool_tipp_sb = "Min. attenuation resp. maximum level in (this) stop band"
for i in range(num_new_labels):
# Update ALL labels and corresponding values
self.qlabels[i].setText(to_html(new_labels[i], frmt='bi'))
self.qlineedit[i].setText(str(fb.fil[0][new_labels[i]]))
self.qlineedit[i].setObjectName(new_labels[i]) # update ID
if "sb" in new_labels[i].lower():
self.qlineedit[i].setToolTip("<span>" + tool_tipp_sb +
" (> 0).</span>")
elif "pb" in new_labels[i].lower():
self.qlineedit[i].setToolTip(
"<span>Maximum ripple (> 0) in (this) pass band.<span/>"
)
qstyle_widget(self.qlineedit[i], state)
self.n_cur_labels = num_new_labels # update number of currently visible labels
self.load_dict(
) # display rounded filter dict entries in selected unit
#------------------------------------------------------------------------------
def load_dict(self):
"""
Reload and reformat the amplitude textfields from filter dict when a new filter
design algorithm is selected or when the user has changed the unit (V / W / dB):
- Reload amplitude entries from filter dictionary and convert to selected to reflect changed settings
unit.
- Update the lineedit fields, rounded to specified format.
"""
unit = fb.fil[0]['amp_specs_unit']
filt_type = fb.fil[0]['ft']
for i in range(len(self.qlineedit)):
amp_label = str(self.qlineedit[i].objectName())
amp_value = lin2unit(fb.fil[0][amp_label],
filt_type,
amp_label,
unit=unit)
if not self.qlineedit[i].hasFocus():
# widget has no focus, round the display
self.qlineedit[i].setText(params['FMT'].format(amp_value))
else:
# widget has focus, show full precision
self.qlineedit[i].setText(str(amp_value))
#------------------------------------------------------------------------------
def _set_amp_unit(self, source):
"""
Store unit for amplitude in filter dictionary, reload amplitude spec
entries via load_dict and fire a sigUnitChanged signal
"""
fb.fil[0]['amp_specs_unit'] = qget_cmb_box(self.cmbUnitsA, data=False)
self.load_dict()
self.sig_tx.emit({'sender': __name__, 'view_changed': 'a_unit'})
#------------------------------------------------------------------------------
def _store_entry(self, source):
"""
When the textfield of `source` has been edited (flag `self.spec_edited` = True),
transform the amplitude spec back to linear unit setting and store it
in filter dict.
This is triggered by `QEvent.focusOut`
Spec entries are *always* stored in linear units; only the
displayed values are adapted to the amplitude unit, not the dictionary!
"""
if self.spec_edited:
unit = str(self.cmbUnitsA.currentText())
filt_type = fb.fil[0]['ft']
amp_label = str(source.objectName())
amp_value = safe_eval(source.text(), fb.data_old, sign='pos')
fb.fil[0].update(
{amp_label: unit2lin(amp_value, filt_type, amp_label, unit)})
self.sig_tx.emit({'sender': __name__, 'specs_changed': 'a_specs'})
self.spec_edited = False # reset flag
self.load_dict()
#-------------------------------------------------------------
def _hide_entries(self, num_new_labels):
"""
Hide subwidgets so that only `num_new_labels` subwidgets are visible
"""
for i in range(num_new_labels, len(self.qlabels)):
self.qlabels[i].hide()
self.qlineedit[i].hide()
#------------------------------------------------------------------------
def _show_entries(self, num_new_labels):
"""
- check whether enough subwidgets (QLabel und QLineEdit) exist for the
the required number of `num_new_labels`:
- create new ones if required
- initialize them with dummy information
- install eventFilter for new QLineEdit widgets so that the filter
dict is updated automatically when a QLineEdit field has been
edited.
- if enough subwidgets exist already, make enough of them visible to
show all spec fields
"""
num_tot_labels = len(
self.qlabels) # number of existing labels (vis. + invis.)
if num_tot_labels < num_new_labels: # new widgets need to be generated
for i in range(num_tot_labels, num_new_labels):
self.qlabels.append(QLabel(self))
self.qlabels[i].setText(to_html("dummy", frmt='bi'))
self.qlineedit.append(QLineEdit(""))
self.qlineedit[i].setObjectName("dummy")
self.qlineedit[i].installEventFilter(self) # filter events
# first entry is title
self.layGSpecs.addWidget(self.qlabels[i], i + 1, 0)
self.layGSpecs.addWidget(self.qlineedit[i], i + 1, 1)
else: # make the right number of widgets visible
for i in range(self.n_cur_labels, num_new_labels):
self.qlabels[i].show()
self.qlineedit[i].show()
class Plot_Hf(QWidget):
"""
Widget for plotting \|H(f)\|, frequency specs and the phase
"""
# incoming, connected in sender widget (locally connected to self.process_sig_rx() )
sig_rx = pyqtSignal(object)
def __init__(self, parent):
super(Plot_Hf, self).__init__(parent)
self.needs_calc = True # flag whether plot needs to be updated
self.needs_draw = True # flag whether plot needs to be redrawn
self.tool_tip = "Magnitude and phase frequency response"
self.tab_label = "|H(f)|"
self.log_bottom = -80
self.lin_neg_bottom = -10
self._construct_ui()
#------------------------------------------------------------------------------
def process_sig_rx(self, dict_sig=None):
"""
Process signals coming from the navigation toolbar and from sig_rx
"""
logger.debug("SIG_RX - needs_calc = {0}, vis = {1}\n{2}"\
.format(self.needs_calc, self.isVisible(), pprint_log(dict_sig)))
if self.isVisible():
if 'data_changed' in dict_sig or 'specs_changed' in dict_sig\
or 'home' in dict_sig or self.needs_calc:
self.draw()
self.needs_calc = False
self.needs_draw = False
if 'view_changed' in dict_sig or self.needs_draw:
self.update_view()
self.needs_draw = False
else:
if 'data_changed' in dict_sig or 'specs_changed' in dict_sig:
self.needs_calc = True
if 'view_changed' in dict_sig:
self.needs_draw = True
def _construct_ui(self):
"""
Define and construct the subwidgets
"""
modes = ['| H |', 're{H}', 'im{H}']
self.cmbShowH = QComboBox(self)
self.cmbShowH.addItems(modes)
self.cmbShowH.setObjectName("cmbUnitsH")
self.cmbShowH.setToolTip(
"Show magnitude, real / imag. part of H or H \n"
"without linear phase (acausal system).")
self.cmbShowH.setCurrentIndex(0)
self.lblIn = QLabel("in", self)
units = ['dB', 'V', 'W', 'Auto']
self.cmbUnitsA = QComboBox(self)
self.cmbUnitsA.addItems(units)
self.cmbUnitsA.setObjectName("cmbUnitsA")
self.cmbUnitsA.setToolTip(
"<span>Set unit for y-axis:\n"
"dB is attenuation (positive values), V and W are gain (less than 1).</span>"
)
self.cmbUnitsA.setCurrentIndex(0)
self.lbl_log_bottom = QLabel("Bottom", self)
self.led_log_bottom = QLineEdit(self)
self.led_log_bottom.setText(str(self.log_bottom))
self.led_log_bottom.setToolTip(
"<span>Minimum display value for dB. scale.</span>")
self.lbl_log_unit = QLabel("dB", self)
self.cmbShowH.setSizeAdjustPolicy(QComboBox.AdjustToContents)
self.cmbUnitsA.setSizeAdjustPolicy(QComboBox.AdjustToContents)
self.chkZerophase = QCheckBox("Zero phase", self)
self.chkZerophase.setToolTip(
"<span>Remove linear phase calculated from filter order.\n"
"Attention: This makes no sense for a non-linear phase system!</span>"
)
self.lblInset = QLabel("Inset", self)
self.cmbInset = QComboBox(self)
self.cmbInset.addItems(['off', 'edit', 'fixed'])
self.cmbInset.setObjectName("cmbInset")
self.cmbInset.setToolTip("Display/edit second inset plot")
self.cmbInset.setCurrentIndex(0)
self.inset_idx = 0 # store previous index for comparison
self.chkSpecs = QCheckBox("Specs", self)
self.chkSpecs.setChecked(False)
self.chkSpecs.setToolTip("Display filter specs as hatched regions")
self.chkPhase = QCheckBox("Phase", self)
self.chkPhase.setToolTip("Overlay phase")
self.chkPhase.setChecked(False)
self.chkAlign = QCheckBox("Align", self)
self.chkAlign.setToolTip(
"<span>Try to align grids for magnitude and phase "
"(doesn't work in all cases).</span>")
self.chkAlign.setChecked(True)
self.chkAlign.setVisible(self.chkPhase.isChecked())
#----------------------------------------------------------------------
# ### frmControls ###
#
# This widget encompasses all control subwidgets
#----------------------------------------------------------------------
layHControls = QHBoxLayout()
layHControls.addStretch(10)
layHControls.addWidget(self.cmbShowH)
layHControls.addWidget(self.lblIn)
layHControls.addWidget(self.cmbUnitsA)
layHControls.addStretch(1)
layHControls.addWidget(self.lbl_log_bottom)
layHControls.addWidget(self.led_log_bottom)
layHControls.addWidget(self.lbl_log_unit)
layHControls.addStretch(1)
layHControls.addWidget(self.chkZerophase)
layHControls.addStretch(1)
layHControls.addWidget(self.lblInset)
layHControls.addWidget(self.cmbInset)
layHControls.addStretch(1)
layHControls.addWidget(self.chkSpecs)
layHControls.addStretch(1)
layHControls.addWidget(self.chkPhase)
layHControls.addWidget(self.chkAlign)
layHControls.addStretch(10)
self.frmControls = QFrame(self)
self.frmControls.setObjectName("frmControls")
self.frmControls.setLayout(layHControls)
#----------------------------------------------------------------------
# ### mplwidget ###
#
# main widget, encompassing the other widgets
#----------------------------------------------------------------------
self.mplwidget = MplWidget(self)
self.mplwidget.layVMainMpl.addWidget(self.frmControls)
self.mplwidget.layVMainMpl.setContentsMargins(*params['wdg_margins'])
self.mplwidget.mplToolbar.a_he.setEnabled(True)
self.mplwidget.mplToolbar.a_he.info = "manual/plot_hf.html"
self.setLayout(self.mplwidget.layVMainMpl)
self.init_axes()
self.draw() # calculate and draw |H(f)|
#----------------------------------------------------------------------
# GLOBAL SIGNALS & SLOTs
#----------------------------------------------------------------------
self.sig_rx.connect(self.process_sig_rx)
#----------------------------------------------------------------------
# LOCAL SIGNALS & SLOTs
#----------------------------------------------------------------------
self.cmbUnitsA.currentIndexChanged.connect(self.draw)
self.led_log_bottom.editingFinished.connect(self.update_view)
self.cmbShowH.currentIndexChanged.connect(self.draw)
self.chkZerophase.clicked.connect(self.draw)
self.cmbInset.currentIndexChanged.connect(self.draw_inset)
self.chkSpecs.clicked.connect(self.draw)
self.chkPhase.clicked.connect(self.draw)
self.chkAlign.clicked.connect(self.draw)
self.mplwidget.mplToolbar.sig_tx.connect(self.process_sig_rx)
#------------------------------------------------------------------------------
def init_axes(self):
"""
Initialize and clear the axes (this is run only once)
"""
if len(self.mplwidget.fig.get_axes()) == 0: # empty figure, no axes
self.ax = self.mplwidget.fig.subplots()
self.ax.xaxis.tick_bottom() # remove axis ticks on top
self.ax.yaxis.tick_left() # remove axis ticks right
#------------------------------------------------------------------------------
def align_y_axes(self, ax1, ax2):
""" Sets tick marks of twinx axes to line up with total number of
ax1 tick marks
"""
ax1_ylims = ax1.get_ybound()
# collect only visible ticks
ax1_yticks = [
t for t in ax1.get_yticks()
if t >= ax1_ylims[0] and t <= ax1_ylims[1]
]
ax1_nticks = len(ax1_yticks)
ax1_ydelta_lim = ax1_ylims[1] - ax1_ylims[0] # span of limits
ax1_ydelta_vis = ax1_yticks[-1] - ax1_yticks[
0] # delta of max. and min tick
ax1_yoffset = ax1_yticks[0] - ax1_ylims[
0] # offset between lower limit and first tick
# calculate scale of Delta Limits / Delta Ticks
ax1_scale = ax1_ydelta_lim / ax1_ydelta_vis
ax2_ylims = ax2.get_ybound()
ax2_yticks = ax2.get_yticks()
ax2_nticks = len(ax2_yticks)
#ax2_ydelta_lim = ax2_ylims[1] - ax2_ylims[0]
ax2_ydelta_vis = ax2_yticks[-1] - ax2_yticks[0]
ax2_ydelta_lim = ax2_ydelta_vis * ax1_scale
ax2_scale = ax2_ydelta_lim / ax2_ydelta_vis
# calculate new offset between lower limit and first tick
ax2_yoffset = ax1_yoffset * ax2_ydelta_lim / ax1_ydelta_lim
logger.warning("ax2: delta_vis: {0}, scale: {1}, offset: {2}".format(
ax2_ydelta_vis, ax2_scale, ax2_yoffset))
logger.warning("Ticks: {0} # {1}".format(ax1_nticks, ax2_nticks))
ax2.set_yticks(
np.linspace(ax2_yticks[0], (ax2_yticks[1] - ax2_yticks[0]),
ax1_nticks))
logger.warning("ax2[0]={0} | ax2[1]={1} ax2[-1]={2}".format(
ax2_yticks[0], ax2_yticks[1], ax2_yticks[-1]))
ax2_lim0 = ax2_yticks[0] - ax2_yoffset
ax2.set_ybound(ax2_lim0, ax2_lim0 + ax2_ydelta_lim)
# =============================================================================
# # https://stackoverflow.com/questions/26752464/how-do-i-align-gridlines-for-two-y-axis-scales-using-matplotlib
# # works, but both axes have ugly numbers
# nticks = 11
# ax.yaxis.set_major_locator(ticker.LinearLocator(nticks))
# self.ax_p.yaxis.set_major_locator(ticker.LinearLocator(nticks))
# # =============================================================================
# =============================================================================
# # https://stackoverflow.com/questions/45037386/trouble-aligning-ticks-for-matplotlib-twinx-axes
# # works, but second axis has ugly numbering
# l_H = ax.get_ylim()
# l_p = self.ax_p.get_ylim()
# f = lambda x : l_p[0]+(x-l_H[0])/(l_H[1]-l_H[0])*(l_p[1]-l_p[0])
# ticks = f(ax.get_yticks())
# self.ax_p.yaxis.set_major_locator(ticker.FixedLocator(ticks))
#
# =============================================================================
# http://stackoverflow.com/questions/28692608/align-grid-lines-on-two-plots
# http://stackoverflow.com/questions/3654619/matplotlib-multiple-y-axes-grid-lines-applied-to-both
# http://stackoverflow.com/questions/20243683/matplotlib-align-twinx-tick-marks
# manual setting:
#self.ax_p.set_yticks( np.linspace(self.ax_p.get_ylim()[0],self.ax_p.get_ylim()[1],nbins) )
#ax1.set_yticks(np.linspace(ax1.get_ybound()[0], ax1.get_ybound()[1], 5))
#ax2.set_yticks(np.linspace(ax2.get_ybound()[0], ax2.get_ybound()[1], 5))
#http://stackoverflow.com/questions/3654619/matplotlib-multiple-y-axes-grid-lines-applied-to-both
# use helper functions from matplotlib.ticker:
# MaxNLocator: set no more than nbins + 1 ticks
#self.ax_p.yaxis.set_major_locator( matplotlib.ticker.MaxNLocator(nbins = nbins) )
# further options: integer = False,
# prune = [‘lower’ | ‘upper’ | ‘both’ | None] Remove edge ticks
# AutoLocator:
#self.ax_p.yaxis.set_major_locator( matplotlib.ticker.AutoLocator() )
# LinearLocator:
#self.ax_p.yaxis.set_major_locator( matplotlib.ticker.LinearLocator(numticks = nbins -1 ) )
# self.ax_p.locator_params(axis = 'y', nbins = nbins)
#
# self.ax_p.set_yticks(np.linspace(self.ax_p.get_ybound()[0],
# self.ax_p.get_ybound()[1],
# len(self.ax.get_yticks())-1))
#N = source_ax.xaxis.get_major_ticks()
#target_ax.xaxis.set_major_locator(LinearLocator(N))
#------------------------------------------------------------------------------
def plot_spec_limits(self, ax):
"""
Plot the specifications limits (F_SB, A_SB, ...) as hatched areas with borders.
"""
hatch = params['mpl_hatch']
hatch_borders = params['mpl_hatch_border']
def dB(lin):
return 20 * np.log10(lin)
def _plot_specs():
# upper limits:
ax.plot(F_lim_upl, A_lim_upl, F_lim_upc, A_lim_upc, F_lim_upr,
A_lim_upr, **hatch_borders)
if A_lim_upl:
ax.fill_between(F_lim_upl, max(A_lim_upl), A_lim_upl, **hatch)
if A_lim_upc:
ax.fill_between(F_lim_upc, max(A_lim_upc), A_lim_upc, **hatch)
if A_lim_upr:
ax.fill_between(F_lim_upr, max(A_lim_upr), A_lim_upr, **hatch)
# lower limits:
ax.plot(F_lim_lol, A_lim_lol, F_lim_loc, A_lim_loc, F_lim_lor,
A_lim_lor, **hatch_borders)
if A_lim_lol:
ax.fill_between(F_lim_lol, min(A_lim_lol), A_lim_lol, **hatch)
if A_lim_loc:
ax.fill_between(F_lim_loc, min(A_lim_loc), A_lim_loc, **hatch)
if A_lim_lor:
ax.fill_between(F_lim_lor, min(A_lim_lor), A_lim_lor, **hatch)
if self.unitA == 'V':
exp = 1.
elif self.unitA == 'W':
exp = 2.
if self.unitA == 'dB':
if fb.fil[0]['ft'] == "FIR":
A_PB_max = dB(1 + self.A_PB)
A_PB2_max = dB(1 + self.A_PB2)
else: # IIR dB
A_PB_max = A_PB2_max = 0
A_PB_min = dB(1 - self.A_PB)
A_PB2_min = dB(1 - self.A_PB2)
A_PB_minx = min(A_PB_min, A_PB2_min) - 5
A_PB_maxx = max(A_PB_max, A_PB2_max) + 5
A_SB = dB(self.A_SB)
A_SB2 = dB(self.A_SB2)
A_SB_maxx = max(A_SB, A_SB2) + 10
else: # 'V' or 'W'
if fb.fil[0]['ft'] == "FIR":
A_PB_max = (1 + self.A_PB)**exp
A_PB2_max = (1 + self.A_PB2)**exp
else: # IIR lin
A_PB_max = A_PB2_max = 1
A_PB_min = (1 - self.A_PB)**exp
A_PB2_min = (1 - self.A_PB2)**exp
A_PB_minx = min(A_PB_min, A_PB2_min) / 1.05
A_PB_maxx = max(A_PB_max, A_PB2_max) * 1.05
A_SB = self.A_SB**exp
A_SB2 = self.A_SB2**exp
A_SB_maxx = A_PB_min / 10.
F_max = self.f_max / 2
F_PB = self.F_PB
F_SB = fb.fil[0]['F_SB'] * self.f_max
F_SB2 = fb.fil[0]['F_SB2'] * self.f_max
F_PB2 = fb.fil[0]['F_PB2'] * self.f_max
F_lim_upl = F_lim_lol = [] # left side limits, lower and upper
A_lim_upl = A_lim_lol = []
F_lim_upc = F_lim_loc = [] # center limits, lower and upper
A_lim_upc = A_lim_loc = []
F_lim_upr = F_lim_lor = [] # right side limits, lower and upper
A_lim_upr = A_lim_lor = []
if fb.fil[0]['rt'] == 'LP':
F_lim_upl = [0, F_PB, F_PB]
A_lim_upl = [A_PB_max, A_PB_max, A_PB_maxx]
F_lim_lol = F_lim_upl
A_lim_lol = [A_PB_min, A_PB_min, A_PB_minx]
F_lim_upr = [F_SB, F_SB, F_max]
A_lim_upr = [A_SB_maxx, A_SB, A_SB]
if fb.fil[0]['rt'] == 'HP':
F_lim_upl = [0, F_SB, F_SB]
A_lim_upl = [A_SB, A_SB, A_SB_maxx]
F_lim_upr = [F_PB, F_PB, F_max]
A_lim_upr = [A_PB_maxx, A_PB_max, A_PB_max]
F_lim_lor = F_lim_upr
A_lim_lor = [A_PB_minx, A_PB_min, A_PB_min]
if fb.fil[0]['rt'] == 'BS':
F_lim_upl = [0, F_PB, F_PB]
A_lim_upl = [A_PB_max, A_PB_max, A_PB_maxx]
F_lim_lol = F_lim_upl
A_lim_lol = [A_PB_min, A_PB_min, A_PB_minx]
F_lim_upc = [F_SB, F_SB, F_SB2, F_SB2]
A_lim_upc = [A_SB_maxx, A_SB, A_SB, A_SB_maxx]
F_lim_upr = [F_PB2, F_PB2, F_max]
A_lim_upr = [A_PB_maxx, A_PB2_max, A_PB2_max]
F_lim_lor = F_lim_upr
A_lim_lor = [A_PB_minx, A_PB2_min, A_PB2_min]
if fb.fil[0]['rt'] == 'BP':
F_lim_upl = [0, F_SB, F_SB]
A_lim_upl = [A_SB, A_SB, A_SB_maxx]
F_lim_upc = [F_PB, F_PB, F_PB2, F_PB2]
A_lim_upc = [A_PB_maxx, A_PB_max, A_PB_max, A_PB_maxx]
F_lim_loc = F_lim_upc
A_lim_loc = [A_PB_minx, A_PB_min, A_PB_min, A_PB_minx]
F_lim_upr = [F_SB2, F_SB2, F_max]
A_lim_upr = [A_SB_maxx, A_SB2, A_SB2]
if fb.fil[0]['rt'] == 'HIL':
F_lim_upc = [F_PB, F_PB, F_PB2, F_PB2]
A_lim_upc = [A_PB_maxx, A_PB_max, A_PB_max, A_PB_maxx]
F_lim_loc = F_lim_upc
A_lim_loc = [A_PB_minx, A_PB_min, A_PB_min, A_PB_minx]
F_lim_upr = np.array(F_lim_upr)
F_lim_lor = np.array(F_lim_lor)
F_lim_upl = np.array(F_lim_upl)
F_lim_lol = np.array(F_lim_lol)
F_lim_upc = np.array(F_lim_upc)
F_lim_loc = np.array(F_lim_loc)
_plot_specs() # plot specs in the range 0 ... f_S/2
if fb.fil[0]['freqSpecsRangeType'] != 'half':
# add plot limits for other half of the spectrum
if fb.fil[0][
'freqSpecsRangeType'] == 'sym': # frequency axis +/- f_S/2
F_lim_upl = -F_lim_upl
F_lim_lol = -F_lim_lol
F_lim_upc = -F_lim_upc
F_lim_loc = -F_lim_loc
F_lim_upr = -F_lim_upr
F_lim_lor = -F_lim_lor
else: # -> 'whole'
F_lim_upl = self.f_max - F_lim_upl
F_lim_lol = self.f_max - F_lim_lol
F_lim_upc = self.f_max - F_lim_upc
F_lim_loc = self.f_max - F_lim_loc
F_lim_upr = self.f_max - F_lim_upr
F_lim_lor = self.f_max - F_lim_lor
_plot_specs()
#------------------------------------------------------------------------------
def draw_inset(self):
"""
Construct / destruct second axes for an inset second plot
"""
# TODO: try ax1 = zoomed_inset_axes(ax, 6, loc=1) # zoom = 6
# TODO: choose size & position of inset, maybe dependent on filter type
# or specs (i.e. where is passband etc.)
# DEBUG
# print(self.cmbInset.currentIndex(), self.mplwidget.fig.axes) # list of axes in Figure
# for ax in self.mplwidget.fig.axes:
# print(ax)
# print("cmbInset, inset_idx:",self.cmbInset.currentIndex(), self.inset_idx)
if self.cmbInset.currentIndex() > 0:
if self.inset_idx == 0:
# Inset was turned off before, create a new one
# Add an axes at position rect [left, bottom, width, height]:
self.ax_i = self.mplwidget.fig.add_axes([0.65, 0.61, .3, .3])
self.ax_i.clear() # clear old plot and specs
# draw an opaque background with the extent of the inset plot:
# self.ax_i.patch.set_facecolor('green') # without label area
# self.mplwidget.fig.patch.set_facecolor('green') # whole figure
extent = self.mplwidget.get_full_extent(self.ax_i, pad=0.0)
# Transform this back to figure coordinates - otherwise, it
# won't behave correctly when the size of the plot is changed:
extent = extent.transformed(
self.mplwidget.fig.transFigure.inverted())
rect = Rectangle((extent.xmin, extent.ymin),
extent.width,
extent.height,
facecolor=rcParams['figure.facecolor'],
edgecolor='none',
transform=self.mplwidget.fig.transFigure,
zorder=-1)
self.ax_i.patches.append(rect)
self.ax_i.set_xlim(fb.fil[0]['freqSpecsRange'])
self.ax_i.plot(self.F, self.H_plt)
if self.cmbInset.currentIndex() == 1: # edit / navigate inset
self.ax_i.set_navigate(True)
self.ax.set_navigate(False)
if self.chkSpecs.isChecked():
self.plot_spec_limits(self.ax_i)
else: # edit / navigate main plot
self.ax_i.set_navigate(False)
self.ax.set_navigate(True)
else: # inset has been turned off, delete it
self.ax.set_navigate(True)
try:
#remove ax_i from the figure
self.mplwidget.fig.delaxes(self.ax_i)
except AttributeError:
pass
self.inset_idx = self.cmbInset.currentIndex() # update index
self.draw()
#------------------------------------------------------------------------------
def draw_phase(self, ax):
"""
Draw phase on second y-axis in the axes system passed as the argument
"""
if hasattr(self, 'ax_p'):
self.mplwidget.fig.delaxes(self.ax_p)
del self.ax_p
# try:
# self.mplwidget.fig.delaxes(self.ax_p)
# except (KeyError, AttributeError):
# pass
if self.chkPhase.isChecked():
self.ax_p = ax.twinx(
) # second axes system with same x-axis for phase
self.ax_p.is_twin = True # mark this as 'twin' to suppress second grid in mpl_widget
#
phi_str = r'$\angle H(\mathrm{e}^{\mathrm{j} \Omega})$'
if fb.fil[0]['plt_phiUnit'] == 'rad':
phi_str += ' in rad ' + r'$\rightarrow $'
scale = 1.
elif fb.fil[0]['plt_phiUnit'] == 'rad/pi':
phi_str += ' in rad' + r'$ / \pi \;\rightarrow $'
scale = 1. / np.pi
else:
phi_str += ' in deg ' + r'$\rightarrow $'
scale = 180. / np.pi
# replace nan and inf by finite values, otherwise np.unwrap yields
# an array full of nans
phi = np.angle(np.nan_to_num(self.H_c))
#-----------------------------------------------------------
self.ax_p.plot(self.F,
np.unwrap(phi) * scale,
'g-.',
label="Phase")
#-----------------------------------------------------------
self.ax_p.set_ylabel(phi_str)
#------------------------------------------------------------------------------
def calc_hf(self):
"""
(Re-)Calculate the complex frequency response H(f)
"""
# calculate H_cmplx(W) (complex) for W = 0 ... 2 pi:
self.W, self.H_cmplx = calc_Hcomplex(fb.fil[0], params['N_FFT'], True)
#------------------------------------------------------------------------------
def draw(self):
"""
Re-calculate \|H(f)\| and draw the figure
"""
self.chkAlign.setVisible(self.chkPhase.isChecked())
self.calc_hf()
self.update_view()
#------------------------------------------------------------------------------
def update_view(self):
"""
Draw the figure with new limits, scale etc without recalculating H(f)
"""
# suppress "divide by zero in log10" warnings
old_settings_seterr = np.seterr()
np.seterr(divide='ignore')
# Get corners for spec display from the parameters of the target specs subwidget
try:
param_list = fb.fil_tree[fb.fil[0]['rt']][fb.fil[0]['ft']]\
[fb.fil[0]['fc']][fb.fil[0]['fo']]['tspecs'][1]['amp']
except KeyError:
param_list = []
SB = [l for l in param_list if 'A_SB' in l]
PB = [l for l in param_list if 'A_PB' in l]
if SB:
A_min = min([fb.fil[0][l] for l in SB])
else:
A_min = 5e-4
if PB:
A_max = max([fb.fil[0][l] for l in PB])
else:
A_max = 1
if np.all(self.W) is None: # H(f) has not been calculated yet
self.calc_hf()
if self.cmbUnitsA.currentText() == 'Auto':
self.unitA = fb.fil[0]['amp_specs_unit']
else:
self.unitA = self.cmbUnitsA.currentText()
# only display log bottom widget for unit dB
self.lbl_log_bottom.setVisible(self.unitA == 'dB')
self.led_log_bottom.setVisible(self.unitA == 'dB')
self.lbl_log_unit.setVisible(self.unitA == 'dB')
# Linphase settings only makes sense for amplitude plot and
# for plottin real/imag. part of H, not its magnitude
self.chkZerophase.setCheckable(self.unitA == 'V')
self.chkZerophase.setEnabled(self.unitA == 'V')
self.specs = self.chkSpecs.isChecked()
self.f_max = fb.fil[0]['f_max']
self.F_PB = fb.fil[0]['F_PB'] * self.f_max
self.f_maxB = fb.fil[0]['F_SB'] * self.f_max
self.A_PB = fb.fil[0]['A_PB']
self.A_PB2 = fb.fil[0]['A_PB2']
self.A_SB = fb.fil[0]['A_SB']
self.A_SB2 = fb.fil[0]['A_SB2']
f_lim = fb.fil[0]['freqSpecsRange']
#========= select frequency range to be displayed =====================
#=== shift, scale and select: W -> F, H_cplx -> H_c
self.F = self.W / (2 * np.pi) * self.f_max
if fb.fil[0]['freqSpecsRangeType'] == 'sym':
# shift H and F by f_S/2
self.H_c = np.fft.fftshift(self.H_cmplx)
self.F -= self.f_max / 2.
elif fb.fil[0]['freqSpecsRangeType'] == 'half':
# only use the first half of H and F
self.H_c = self.H_cmplx[0:params['N_FFT'] // 2]
self.F = self.F[0:params['N_FFT'] // 2]
else: # fb.fil[0]['freqSpecsRangeType'] == 'whole'
# use H and F as calculated
self.H_c = self.H_cmplx
# now calculate mag / real / imaginary part of H_c:
if self.chkZerophase.isChecked(): # remove the linear phase
self.H_c = self.H_c * np.exp(
1j * self.W[0:len(self.F)] * fb.fil[0]["N"] / 2.)
if self.cmbShowH.currentIndex() == 0: # show magnitude of H
H = abs(self.H_c)
H_str = r'$|H(\mathrm{e}^{\mathrm{j} \Omega})|$'
elif self.cmbShowH.currentIndex() == 1: # show real part of H
H = self.H_c.real
H_str = r'$\Re \{H(\mathrm{e}^{\mathrm{j} \Omega})\}$'
else: # show imag. part of H
H = self.H_c.imag
H_str = r'$\Im \{H(\mathrm{e}^{\mathrm{j} \Omega})\}$'
#================ Main Plotting Routine =========================
#=== clear the axes and (re)draw the plot (if selectable)
if self.ax.get_navigate():
if self.unitA == 'dB':
self.log_bottom = safe_eval(self.led_log_bottom.text(),
self.log_bottom,
return_type='float',
sign='neg')
self.led_log_bottom.setText(str(self.log_bottom))
self.H_plt = np.maximum(20 * np.log10(abs(H)), self.log_bottom)
A_lim = [self.log_bottom, 2]
H_str += ' in dB ' + r'$\rightarrow$'
elif self.unitA == 'V': # 'lin'
self.H_plt = H
if self.cmbShowH.currentIndex(
) != 0: # H can be less than zero
A_min = max(self.lin_neg_bottom,
np.nanmin(self.H_plt[np.isfinite(self.H_plt)]))
else:
A_min = 0
A_lim = [A_min, (1.05 + A_max)]
H_str += ' in V ' + r'$\rightarrow $'
self.ax.axhline(linewidth=1, color='k') # horizontal line at 0
else: # unit is W
A_lim = [0, (1.03 + A_max)**2.]
self.H_plt = H * H.conj()
H_str += ' in W ' + r'$\rightarrow $'
#logger.debug("lim: {0}, min: {1}, max: {2} - {3}".format(A_lim, A_min, A_max, self.H_plt[0]))
#-----------------------------------------------------------
self.ax.clear()
self.ax.plot(self.F, self.H_plt, label='H(f)')
# TODO: self.draw_inset() # this gives an infinite recursion
self.draw_phase(self.ax)
#-----------------------------------------------------------
#============= Set Limits and draw specs =========================
if self.chkSpecs.isChecked():
self.plot_spec_limits(self.ax)
# self.ax_bounds = [self.ax.get_ybound()[0], self.ax.get_ybound()[1]]#, self.ax.get]
self.ax.set_xlim(f_lim)
self.ax.set_ylim(A_lim)
# logger.warning("set limits")
self.ax.set_xlabel(fb.fil[0]['plt_fLabel'])
self.ax.set_ylabel(H_str)
if self.chkPhase.isChecked():
self.ax.set_title(r'Magnitude and Phase Frequency Response')
else:
self.ax.set_title(r'Magnitude Frequency Response')
self.ax.xaxis.set_minor_locator(
AutoMinorLocator()) # enable minor ticks
self.ax.yaxis.set_minor_locator(
AutoMinorLocator()) # enable minor ticks
np.seterr(**old_settings_seterr)
self.redraw()
#------------------------------------------------------------------------------
def redraw(self):
"""
Redraw the canvas when e.g. the canvas size has changed
"""
if hasattr(self, 'ax_p') and self.chkAlign.isChecked():
# Align gridlines between H(f) and phi nicely
self.align_y_axes(self.ax, self.ax_p)
self.mplwidget.redraw()
class FreqUnits(QWidget):
"""
Build and update widget for entering the frequency units
The following key-value pairs of the `fb.fil[0]` dict are modified:
- `'freq_specs_unit'` : The unit ('k', 'f_S', 'f_Ny', 'Hz' etc.) as a string
- `'freqSpecsRange'` : A list with two entries for minimum and maximum frequency
values for labelling the frequency axis
- `'f_S'` : The sampling frequency for referring frequency values to as a float
- `'f_max'` : maximum frequency for scaling frequency axis
- `'plt_fUnit'`: frequency unit as string
- `'plt_tUnit'`: time unit as string
- `'plt_fLabel'`: label for frequency axis
- `'plt_tLabel'`: label for time axis
"""
# class variables (shared between instances if more than one exists)
sig_tx = pyqtSignal(object) # outgoing
def __init__(self, parent, title="Frequency Units"):
super(FreqUnits, self).__init__(parent)
self.title = title
self.spec_edited = False # flag whether QLineEdit field has been edited
self._construct_UI()
def _construct_UI(self):
"""
Construct the User Interface
"""
self.layVMain = QVBoxLayout() # Widget main layout
f_units = ['k', 'f_S', 'f_Ny', 'Hz', 'kHz', 'MHz', 'GHz']
self.t_units = ['', '', '', 's', 'ms', r'$\mu$s', 'ns']
bfont = QFont()
bfont.setBold(True)
self.lblUnits = QLabel(self)
self.lblUnits.setText("Freq. Unit:")
self.lblUnits.setFont(bfont)
self.fs_old = fb.fil[0]['f_S'] # store current sampling frequency
self.ledF_S = QLineEdit()
self.ledF_S.setText(str(fb.fil[0]["f_S"]))
self.ledF_S.setObjectName("f_S")
self.ledF_S.installEventFilter(self) # filter events
self.lblF_S = QLabel(self)
self.lblF_S.setText(to_html("f_S", frmt='bi'))
self.cmbUnits = QComboBox(self)
self.cmbUnits.setObjectName("cmbUnits")
self.cmbUnits.addItems(f_units)
self.cmbUnits.setToolTip(
'Select whether frequencies are specified w.r.t. \n'
'the sampling frequency "f_S", to the Nyquist frequency \n'
'f_Ny = f_S/2 or as absolute values. "k" specifies frequencies w.r.t. f_S '
'but plots graphs over the frequency index k.')
self.cmbUnits.setCurrentIndex(1)
# self.cmbUnits.setItemData(0, (0,QColor("#FF333D"),Qt.BackgroundColorRole))#
# self.cmbUnits.setItemData(0, (QFont('Verdana', bold=True), Qt.FontRole)
fRanges = [("0...½", "half"), ("0...1", "whole"), ("-½...½", "sym")]
self.cmbFRange = QComboBox(self)
self.cmbFRange.setObjectName("cmbFRange")
for f in fRanges:
self.cmbFRange.addItem(f[0], f[1])
self.cmbFRange.setToolTip("Select frequency range (whole or half).")
self.cmbFRange.setCurrentIndex(0)
# Combobox resizes with longest entry
self.cmbUnits.setSizeAdjustPolicy(QComboBox.AdjustToContents)
self.cmbFRange.setSizeAdjustPolicy(QComboBox.AdjustToContents)
self.butSort = QToolButton(self)
self.butSort.setText("Sort")
self.butSort.setCheckable(True)
self.butSort.setChecked(True)
self.butSort.setToolTip(
"Sort frequencies in ascending order when pushed.")
self.butSort.setStyleSheet("QToolButton:checked {font-weight:bold}")
self.layHUnits = QHBoxLayout()
self.layHUnits.addWidget(self.cmbUnits)
self.layHUnits.addWidget(self.cmbFRange)
self.layHUnits.addWidget(self.butSort)
# Create a gridLayout consisting of QLabel and QLineEdit fields
# for setting f_S, the units and the actual frequency specs:
self.layGSpecWdg = QGridLayout() # sublayout for spec fields
self.layGSpecWdg.addWidget(self.lblF_S, 1, 0)
self.layGSpecWdg.addWidget(self.ledF_S, 1, 1)
self.layGSpecWdg.addWidget(self.lblUnits, 0, 0)
self.layGSpecWdg.addLayout(self.layHUnits, 0, 1)
frmMain = QFrame(self)
frmMain.setLayout(self.layGSpecWdg)
self.layVMain.addWidget(frmMain)
self.layVMain.setContentsMargins(*params['wdg_margins'])
self.setLayout(self.layVMain)
#----------------------------------------------------------------------
# LOCAL SIGNALS & SLOTs
#----------------------------------------------------------------------
self.cmbUnits.currentIndexChanged.connect(self.update_UI)
self.cmbFRange.currentIndexChanged.connect(self._freq_range)
self.butSort.clicked.connect(self._store_sort_flag)
#----------------------------------------------------------------------
self.update_UI() # first-time initialization
#-------------------------------------------------------------
def update_UI(self):
"""
Transform the displayed frequency spec input fields according to the units
setting. Spec entries are always stored normalized w.r.t. f_S in the
dictionary; when f_S or the unit are changed, only the displayed values
of the frequency entries are updated, not the dictionary!
Signals are blocked before changing the value for f_S programmatically
update_UI is called
- during init
- when the unit combobox is changed
Finally, store freqSpecsRange and emit 'view_changed' signal via _freq_range
"""
idx = self.cmbUnits.currentIndex() # read index of units combobox
f_unit = str(self.cmbUnits.currentText()) # and the label
self.ledF_S.setVisible(f_unit not in {"f_S", "f_Ny",
"k"}) # only vis. when
self.lblF_S.setVisible(f_unit not in {"f_S", "f_Ny",
"k"}) # not normalized
f_S_scale = 1 # default setting for f_S scale
if f_unit in {"f_S", "f_Ny", "k"}: # normalized frequency
self.fs_old = fb.fil[0]['f_S'] # store current sampling frequency
if f_unit == "f_S": # normalized to f_S
fb.fil[0]['f_S'] = fb.fil[0]['f_max'] = 1.
f_label = r"$F = f\, /\, f_S = \Omega \, /\, 2 \mathrm{\pi} \; \rightarrow$"
elif f_unit == "f_Ny": # idx == 1: normalized to f_nyq = f_S / 2
fb.fil[0]['f_S'] = fb.fil[0]['f_max'] = 2.
f_label = r"$F = 2f \, / \, f_S = \Omega \, / \, \mathrm{\pi} \; \rightarrow$"
else:
fb.fil[0]['f_S'] = 1
fb.fil[0]['f_max'] = params['N_FFT']
f_label = r"$k \; \rightarrow$"
t_label = r"$n \; \rightarrow$"
self.ledF_S.setText(params['FMT'].format(fb.fil[0]['f_S']))
else: # Hz, kHz, ...
if fb.fil[0]['freq_specs_unit'] in {"f_S", "f_Ny",
"k"}: # previous setting
fb.fil[0]['f_S'] = fb.fil[0][
'f_max'] = self.fs_old # restore prev. sampling frequency
self.ledF_S.setText(params['FMT'].format(fb.fil[0]['f_S']))
if f_unit == "Hz":
f_S_scale = 1.
elif f_unit == "kHz":
f_S_scale = 1.e3
elif f_unit == "MHz":
f_S_scale = 1.e6
elif f_unit == "GHz":
f_S_scale = 1.e9
else:
logger.warning("Unknown frequency unit {0}".format(f_unit))
f_label = r"$f$ in " + f_unit + r"$\; \rightarrow$"
t_label = r"$t$ in " + self.t_units[idx] + r"$\; \rightarrow$"
if f_unit == "k":
plt_f_unit = "f_S"
else:
plt_f_unit = f_unit
fb.fil[0].update({'f_S_scale': f_S_scale}) # scale factor for f_S
fb.fil[0].update({'freq_specs_unit': f_unit}) # frequency unit
fb.fil[0].update({"plt_fLabel": f_label}) # label for freq. axis
fb.fil[0].update({"plt_tLabel": t_label}) # label for time axis
fb.fil[0].update({"plt_fUnit": plt_f_unit}) # frequency unit as string
fb.fil[0].update({"plt_tUnit":
self.t_units[idx]}) # time unit as string
self._freq_range(
) # update f_lim setting and emit sigUnitChanged signal
#------------------------------------------------------------------------------
def eventFilter(self, source, event):
"""
Filter all events generated by the QLineEdit widgets. Source and type
of all events generated by monitored objects are passed to this eventFilter,
evaluated and passed on to the next hierarchy level.
- When a QLineEdit widget gains input focus (QEvent.FocusIn`), display
the stored value from filter dict with full precision
- When a key is pressed inside the text field, set the `spec_edited` flag
to True.
- When a QLineEdit widget loses input focus (QEvent.FocusOut`), store
current value with full precision (only if `spec_edited`== True) and
display the stored value in selected format. Emit 'view_changed':'f_S'
"""
def _store_entry():
"""
Update filter dictionary, set line edit entry with reduced precision
again.
"""
if self.spec_edited:
fb.fil[0].update({
'f_S':
safe_eval(source.text(), fb.fil[0]['f_S'], sign='pos')
})
# TODO: ?!
self._freq_range(emit_sig_range=False) # update plotting range
self.sig_tx.emit({'sender': __name__, 'view_changed': 'f_S'})
self.spec_edited = False # reset flag, changed entry has been saved
if source.objectName() == 'f_S':
if event.type() == QEvent.FocusIn:
self.spec_edited = False
source.setText(str(fb.fil[0]['f_S'])) # full precision
elif event.type() == QEvent.KeyPress:
self.spec_edited = True # entry has been changed
key = event.key()
if key in {QtCore.Qt.Key_Return, QtCore.Qt.Key_Enter}:
_store_entry()
elif key == QtCore.Qt.Key_Escape: # revert changes
self.spec_edited = False
source.setText(str(fb.fil[0]['f_S'])) # full precision
elif event.type() == QEvent.FocusOut:
_store_entry()
source.setText(params['FMT'].format(
fb.fil[0]['f_S'])) # reduced precision
# Call base class method to continue normal event processing:
return super(FreqUnits, self).eventFilter(source, event)
#-------------------------------------------------------------
def _freq_range(self, emit_sig_range=True):
"""
Set frequency plotting range for single-sided spectrum up to f_S/2 or f_S
or for double-sided spectrum between -f_S/2 and f_S/2 and emit
'view_changed':'f_range'.
"""
rangeType = qget_cmb_box(self.cmbFRange)
fb.fil[0].update({'freqSpecsRangeType': rangeType})
f_max = fb.fil[0]["f_max"]
if rangeType == 'whole':
f_lim = [0, f_max]
elif rangeType == 'sym':
f_lim = [-f_max / 2., f_max / 2.]
else:
f_lim = [0, f_max / 2.]
fb.fil[0]['freqSpecsRange'] = f_lim # store settings in dict
self.sig_tx.emit({'sender': __name__, 'view_changed': 'f_range'})
#-------------------------------------------------------------
def load_dict(self):
"""
Reload comboBox settings and textfields from filter dictionary
Block signals during update of combobox / lineedit widgets
"""
self.ledF_S.setText(params['FMT'].format(fb.fil[0]['f_S']))
self.cmbUnits.blockSignals(True)
idx = self.cmbUnits.findText(
fb.fil[0]['freq_specs_unit']) # get and set
self.cmbUnits.setCurrentIndex(idx) # index for freq. unit combo box
self.cmbUnits.blockSignals(False)
self.cmbFRange.blockSignals(True)
idx = self.cmbFRange.findData(fb.fil[0]['freqSpecsRangeType'])
self.cmbFRange.setCurrentIndex(idx) # set frequency range
self.cmbFRange.blockSignals(False)
self.butSort.blockSignals(True)
self.butSort.setChecked(fb.fil[0]['freq_specs_sort'])
self.butSort.blockSignals(False)
#-------------------------------------------------------------
def _store_sort_flag(self):
"""
Store sort flag in filter dict and emit 'specs_changed':'f_sort'
when sort button is checked.
"""
fb.fil[0]['freq_specs_sort'] = self.butSort.isChecked()
if self.butSort.isChecked():
self.sig_tx.emit({'sender': __name__, 'specs_changed': 'f_sort'})
class Input_PZ_UI(QWidget):
"""
Create the UI for the FilterPZ class
"""
sig_rx = pyqtSignal(object) # incoming
sig_tx = pyqtSignal(object) # outgoing
def __init__(self, parent):
"""
Pass instance `parent` of parent class (FilterCoeffs)
"""
super(Input_PZ_UI, self).__init__(parent)
# self.parent = parent # instance of the parent (not the base) class
self.eps = 1.e-4 # # tolerance value for e.g. setting P/Z to zero
self._construct_UI()
#------------------------------------------------------------------------------
def process_sig_rx(self, dict_sig=None):
"""
Process signals coming from the CSV pop-up window
"""
logger.debug("PROCESS_SIG_RX\n{0}".format(pprint_log(dict_sig)))
if 'closeEvent' in dict_sig:
self._close_csv_win()
self.sig_tx.emit({'sender':__name__, 'ui_changed': 'csv'})
return # probably not needed
elif 'ui_changed' in dict_sig:
self._set_load_save_icons() # update icons file <-> clipboard
# inform e.g. the p/z input widget about changes in CSV options
self.sig_tx.emit({'sender':__name__, 'ui_changed': 'csv'})
#------------------------------------------------------------------------------
def _construct_UI(self):
"""
Intitialize the widget, consisting of:
- top chkbox row
- coefficient table
- two bottom rows with action buttons
"""
self.bfont = QFont()
self.bfont.setBold(True)
self.bifont = QFont()
self.bifont.setBold(True)
self.bifont.setItalic(True)
# q_icon_size = QSize(20, 20) # optional, size is derived from butEnable
# ---------------------------------------------
# UI Elements for controlling the display
# ---------------------------------------------
self.butEnable = QPushButton(self)
self.butEnable.setIcon(QIcon(':/circle-x.svg'))
q_icon_size = self.butEnable.iconSize() # <- set this for manual icon sizing
self.butEnable.setIconSize(q_icon_size)
self.butEnable.setCheckable(True)
self.butEnable.setChecked(True)
self.butEnable.setToolTip("<span>Show / hide poles and zeros in an editable table."
" For high order systems, the table display might be slow.</span>")
self.cmbPZFrmt = QComboBox(self)
pz_formats = [('Cartesian', 'cartesian'), ('Polar (rad)', 'polar_rad'),
('Polar (pi)', 'polar_pi'), ('Polar (°)', 'polar_deg')] # display text, data
# π: u'3C0, °: u'B0, ∠: u'2220
for pz in pz_formats:
self.cmbPZFrmt.addItem(*pz)
self.cmbPZFrmt.setSizeAdjustPolicy(QComboBox.AdjustToContents)
# self.cmbPZFrmt.setEnabled(False)
self.cmbPZFrmt.setToolTip("<span>Set display format for poles and zeros to"
" either cartesian (x + jy) or polar (r * ∠ Ω)."
" Type 'o' for '°', '<' for '∠' and 'pi' for 'π'.</span>")
self.spnDigits = QSpinBox(self)
self.spnDigits.setRange(0,16)
self.spnDigits.setToolTip("Number of digits to display.")
self.lblDigits = QLabel("Digits", self)
self.lblDigits.setFont(self.bifont)
self.cmbCausal = QComboBox(self)
causal_types = ['Causal', 'Acausal', 'Anticausal']
for cs in causal_types:
self.cmbCausal.addItem(cs)
qset_cmb_box(self.cmbCausal, 'Causal')
self.cmbCausal.setToolTip('<span>Set the system type. Not implemented yet.</span>')
self.cmbCausal.setSizeAdjustPolicy(QComboBox.AdjustToContents)
self.cmbCausal.setEnabled(False)
layHDisplay = QHBoxLayout()
layHDisplay.setAlignment(Qt.AlignLeft)
layHDisplay.addWidget(self.butEnable)
layHDisplay.addWidget(self.cmbPZFrmt)
layHDisplay.addWidget(self.spnDigits)
layHDisplay.addWidget(self.lblDigits)
layHDisplay.addWidget(self.cmbCausal)
layHDisplay.addStretch()
# ---------------------------------------------
# UI Elements for setting the gain
# ---------------------------------------------
self.lblNorm = QLabel(to_html("Normalize:", frmt='bi'), self)
self.cmbNorm = QComboBox(self)
self.cmbNorm.addItems(["None", "1", "Max"])
self.cmbNorm.setToolTip("<span>Set the gain <i>k</i> so that H(f)<sub>max</sub> is "
"either 1 or the max. of the previous system.</span>")
self.lblGain = QLabel(to_html("k =", frmt='bi'), self)
self.ledGain = QLineEdit(self)
self.ledGain.setToolTip("<span>Specify gain factor <i>k</i>"
" (only possible for Normalize = 'None').</span>")
self.ledGain.setText(str(1.))
self.ledGain.setObjectName("ledGain")
layHGain = QHBoxLayout()
layHGain.addWidget(self.lblNorm)
layHGain.addWidget(self.cmbNorm)
layHGain.addWidget(self.lblGain)
layHGain.addWidget(self.ledGain)
layHGain.addStretch()
# ---------------------------------------------
# UI Elements for loading / storing / manipulating cells and rows
# ---------------------------------------------
# self.cmbFilterType = QComboBox(self)
# self.cmbFilterType.setObjectName("comboFilterType")
# self.cmbFilterType.setToolTip("Select between IIR and FIR filte for manual entry.")
# self.cmbFilterType.addItems(["FIR","IIR"])
# self.cmbFilterType.setSizeAdjustPolicy(QComboBox.AdjustToContents)
self.butAddCells = QPushButton(self)
self.butAddCells.setIcon(QIcon(':/row_insert_above.svg'))
self.butAddCells.setIconSize(q_icon_size)
self.butAddCells.setToolTip("<SPAN>Select cells to insert a new cell above each selected cell. "
"Use <SHIFT> or <CTRL> to select multiple cells. "
"When nothing is selected, add a row at the end.</SPAN>")
self.butDelCells = QPushButton(self)
self.butDelCells.setIcon(QIcon(':/row_delete.svg'))
self.butDelCells.setIconSize(q_icon_size)
self.butDelCells.setToolTip("<SPAN>Delete selected cell(s) from the table. "
"Use <SHIFT> or <CTRL> to select multiple cells. "
"When nothing is selected, delete the last row.</SPAN>")
self.butSave = QPushButton(self)
self.butSave.setIcon(QIcon(':/upload.svg'))
self.butSave.setIconSize(q_icon_size)
self.butSave.setToolTip("<span>Copy P/Z table to filter dict and update all plots and widgets.</span>")
self.butLoad = QPushButton(self)
self.butLoad.setIcon(QIcon(':/download.svg'))
self.butLoad.setIconSize(q_icon_size)
self.butLoad.setToolTip("Reload P/Z table from filter dict.")
self.butClear = QPushButton(self)
self.butClear.setIcon(QIcon(':/trash.svg'))
self.butClear.setIconSize(q_icon_size)
self.butClear.setToolTip("Clear all table entries.")
self.butFromTable = QPushButton(self)
self.butFromTable.setIconSize(q_icon_size)
self.butToTable = QPushButton(self)
self.butToTable.setIconSize(q_icon_size)
self.but_csv_options = QPushButton(self)
self.but_csv_options.setIcon(QIcon(':/settings.svg'))
self.but_csv_options.setIconSize(q_icon_size)
self.but_csv_options.setToolTip("<span>Select CSV format and whether "
"to copy to/from clipboard or file.</span>")
self.but_csv_options.setCheckable(True)
self.but_csv_options.setChecked(False)
self._set_load_save_icons() # initialize icon / button settings
layHButtonsCoeffs1 = QHBoxLayout()
# layHButtonsCoeffs1.addWidget(self.cmbFilterType)
layHButtonsCoeffs1.addWidget(self.butAddCells)
layHButtonsCoeffs1.addWidget(self.butDelCells)
layHButtonsCoeffs1.addWidget(self.butClear)
layHButtonsCoeffs1.addWidget(self.butSave)
layHButtonsCoeffs1.addWidget(self.butLoad)
layHButtonsCoeffs1.addWidget(self.butFromTable)
layHButtonsCoeffs1.addWidget(self.butToTable)
layHButtonsCoeffs1.addWidget(self.but_csv_options)
layHButtonsCoeffs1.addStretch()
#-------------------------------------------------------------------
# Eps / set zero settings
# ---------------------------------------------------------------------
self.butSetZero = QPushButton("= 0", self)
self.butSetZero.setToolTip("<span>Set selected poles / zeros = 0 with a magnitude < ε. "
"When nothing is selected, test the whole table.</span>")
self.butSetZero.setIconSize(q_icon_size)
lblEps = QLabel(self)
lblEps.setText("<b><i>for ε</i> <</b>")
self.ledEps = QLineEdit(self)
self.ledEps.setToolTip("Specify tolerance value.")
layHButtonsCoeffs2 = QHBoxLayout()
layHButtonsCoeffs2.addWidget(self.butSetZero)
layHButtonsCoeffs2.addWidget(lblEps)
layHButtonsCoeffs2.addWidget(self.ledEps)
layHButtonsCoeffs2.addStretch()
# ######################## Main UI Layout ############################
# layout for frame (UI widget)
layVMainF = QVBoxLayout()
layVMainF.addLayout(layHDisplay)
layVMainF.addLayout(layHGain)
layVMainF.addLayout(layHButtonsCoeffs1)
layVMainF.addLayout(layHButtonsCoeffs2)
# This frame encompasses all UI elements
frmMain = QFrame(self)
frmMain.setLayout(layVMainF)
layVMain = QVBoxLayout()
layVMain.setAlignment(Qt.AlignTop) # this affects only the first widget (intended here)
layVMain.addWidget(frmMain)
layVMain.setContentsMargins(*params['wdg_margins'])
self.setLayout(layVMain)
#--- set initial values from dict ------------
self.spnDigits.setValue(params['FMT_pz'])
self.ledEps.setText(str(self.eps))
#----------------------------------------------------------------------
# LOCAL SIGNALS & SLOTs
#----------------------------------------------------------------------
self.but_csv_options.clicked.connect(self._open_csv_win)
#------------------------------------------------------------------------------
def _open_csv_win(self):
"""
Pop-up window for CSV options
"""
if self.but_csv_options.isChecked():
qstyle_widget(self.but_csv_options, "changed")
else:
qstyle_widget(self.but_csv_options, "normal")
if dirs.csv_options_handle is None: # no handle to the window? Create a new instance
if self.but_csv_options.isChecked():
# Important: Handle to window must be class attribute otherwise it
# (and the attached window) is deleted immediately when it goes out of scope
dirs.csv_options_handle = CSV_option_box(self)
dirs.csv_options_handle.sig_tx.connect(self.process_sig_rx)
dirs.csv_options_handle.show() # modeless i.e. non-blocking popup window
else:
if not self.but_csv_options.isChecked(): # this should not happen
if dirs.csv_options_handle is None:
logger.warning("CSV options window is already closed!")
else:
dirs.csv_options_handle.close()
self.sig_tx.emit({'sender':__name__, 'ui_changed': 'csv'})
#------------------------------------------------------------------------------
def _close_csv_win(self):
dirs.csv_options_handle = None
self.but_csv_options.setChecked(False)
qstyle_widget(self.but_csv_options, "normal")
#------------------------------------------------------------------------------
def _set_load_save_icons(self):
"""
Set icons / tooltipps for loading and saving data to / from file or
clipboard depending on selected options.
"""
if params['CSV']['clipboard']:
self.butFromTable.setIcon(QIcon(':/to_clipboard.svg'))
self.butFromTable.setToolTip("<span>"
"Copy table to clipboard, SELECTED items are copied as "
"displayed. When nothing is selected, the whole table "
"is copied with full precision in decimal format.</span>")
self.butToTable.setIcon(QIcon(':/from_clipboard.svg'))
self.butToTable.setToolTip("<span>Copy clipboard to table.</span>")
else:
self.butFromTable.setIcon(QIcon(':/save.svg'))
self.butFromTable.setToolTip("<span>"
"Save table to file, SELECTED items are copied as "
"displayed. When nothing is selected, the whole table "
"is copied with full precision in decimal format.</span>")
self.butToTable.setIcon(QIcon(':/file.svg'))
self.butToTable.setToolTip("<span>Load table from file.</span>")
if dirs.csv_options_handle is None:
qstyle_widget(self.but_csv_options, "normal")
self.but_csv_options.setChecked(False)
else:
qstyle_widget(self.but_csv_options, "changed")
self.but_csv_options.setChecked(True)