class LongLevelWidget(QtWidgets.QWidget):
def __init__(self, parent=None, logger=PrintLogger()):
super().__init__(parent)
self.setObjectName("LongLevels_Widget")
self.logger = logger
self.setObjectName("Scope_Widget")
self.gridLayout = QtWidgets.QGridLayout(self)
self.gridLayout.setObjectName("gridLayout")
self.PlotZoneUp = TimePlot(self, self.logger)
self.PlotZoneUp.setObjectName("PlotZoneUp")
self.PlotZoneUp.setverticaltitle("Level (dB FS RMS)")
self.PlotZoneUp.sethorizontaltitle("Time (min)")
self.PlotZoneUp.setTrackerFormatter(lambda x, y: "%.3g min, %.3g" % (x, y))
self.level_min = DEFAULT_LEVEL_MIN
self.level_max = DEFAULT_LEVEL_MAX
self.PlotZoneUp.setverticalrange(self.level_min, self.level_max)
self.gridLayout.addWidget(self.PlotZoneUp, 0, 0, 1, 1)
self.logger = logger
self.audiobuffer = None
# initialize the settings dialog
self.settings_dialog = LongLevels_Settings_Dialog(self, self.logger)
# initialize the class instance that will do the fft
self.proc = audioproc(self.logger)
self.level = None # 1e-30
self.level_rms = -200.
self.two_channels = False
self.i = 0
self.old_index = 0
#self.response_time = 60. # 1 minute
self.response_time = 20.
# how many times we should decimate to end up with 100 points in the kernel
self.Ndec = int(max(0, np.floor((np.log2(self.response_time * SAMPLING_RATE/100.)))))
Ngauss = 4
self.b = np.array(gauss(10*Ngauss+1, 2.*Ngauss))
self.a = np.zeros(self.b.shape)
self.a[0] = 1.
self.zf = np.zeros(max(len(self.b), len(self.a)) - 1)
self.subsampled_sampling_rate = SAMPLING_RATE / 2 ** (self.Ndec)
self.subsampler = Subsampler(self.Ndec)
self.length_seconds = 60.*10
# actually this should be linked to the pixel width of the plot area
self.length_samples = self.length_seconds * self.subsampled_sampling_rate
# ringbuffer for the subsampled data
self.ringbuffer = RingBuffer(self.logger)
# method
def set_buffer(self, buffer):
self.audiobuffer = buffer
def handle_new_data(self, floatdata):
# we need to maintain an index of where we are in the buffer
index = self.audiobuffer.ringbuffer.offset
self.last_data_time = self.audiobuffer.lastDataTime
available = index - self.old_index
if available < 0:
# ringbuffer must have grown or something...
available = 0
self.old_index = index
# if we have enough data to add a frequency column in the time-frequency plane, compute it
needed = 2**self.Ndec
realizable = int(np.floor(available / needed))
if realizable > 0:
for i in range(realizable):
floatdata = self.audiobuffer.data_indexed(self.old_index, needed)
# first channel
y0 = floatdata[0, :]
y0_squared = y0**2
# subsample
y0_squared_dec = self.subsampler.push(y0_squared)
self.level, self.zf = pyx_lfilter_float64_1D(self.b, self.a, y0_squared_dec, self.zf)
self.level_rms = 10. * np.log10(max(self.level, 1e-150))
l = np.array([self.level_rms])
l.shape = (1, 1)
self.ringbuffer.push(l)
self.old_index += int(needed)
self.time = np.arange(self.length_samples) / self.subsampled_sampling_rate
levels = self.ringbuffer.data(self.length_samples)
self.PlotZoneUp.setdata(self.time/60., levels[0,:])
# method
def canvasUpdate(self):
# nothing to do here
return
def setmin(self, value):
self.level_min = value
self.PlotZoneUp.setverticalrange(self.level_min, self.level_max)
def setmax(self, value):
self.level_max = value
self.PlotZoneUp.setverticalrange(self.level_min, self.level_max)
# slot
def settings_called(self, checked):
self.settings_dialog.show()
# method
def saveState(self, settings):
self.settings_dialog.saveState(settings)
# method
def restoreState(self, settings):
self.settings_dialog.restoreState(settings)
class LongLevelWidget(QtWidgets.QWidget):
def __init__(self, parent=None):
super().__init__(parent)
self.setObjectName("LongLevels_Widget")
self.setObjectName("Scope_Widget")
self.gridLayout = QtWidgets.QGridLayout(self)
self.gridLayout.setObjectName("gridLayout")
self.PlotZoneUp = TimePlot(self)
self.PlotZoneUp.setObjectName("PlotZoneUp")
self.PlotZoneUp.setverticaltitle("Level (dB FS RMS)")
self.PlotZoneUp.sethorizontaltitle("Time (min)")
self.PlotZoneUp.setTrackerFormatter(lambda x, y: "%.3g min, %.3g" %
(x, y))
self.level_min = DEFAULT_LEVEL_MIN
self.level_max = DEFAULT_LEVEL_MAX
self.PlotZoneUp.setverticalrange(self.level_min, self.level_max)
self.gridLayout.addWidget(self.PlotZoneUp, 0, 0, 1, 1)
self.audiobuffer = None
# initialize the settings dialog
self.settings_dialog = LongLevels_Settings_Dialog(self)
# initialize the class instance that will do the fft
self.proc = audioproc()
self.level = None # 1e-30
self.level_rms = -200.
self.two_channels = False
self.i = 0
self.old_index = 0
# self.response_time = 60. # 1 minute
self.response_time = 20.
# how many times we should decimate to end up with 100 points in the kernel
self.Ndec = int(
max(0,
np.floor(
(np.log2(self.response_time * SAMPLING_RATE / 100.)))))
Ngauss = 4
self.b = np.array(gauss(10 * Ngauss + 1, 2. * Ngauss))
self.a = np.zeros(self.b.shape)
self.a[0] = 1.
self.zf = np.zeros(max(len(self.b), len(self.a)) - 1)
self.subsampled_sampling_rate = SAMPLING_RATE / 2**(self.Ndec)
self.subsampler = Subsampler(self.Ndec)
self.length_seconds = 60. * 10
# actually this should be linked to the pixel width of the plot area
self.length_samples = int(self.length_seconds *
self.subsampled_sampling_rate)
# ringbuffer for the subsampled data
self.ringbuffer = RingBuffer()
# method
def set_buffer(self, buffer):
self.audiobuffer = buffer
def handle_new_data(self, floatdata):
# we need to maintain an index of where we are in the buffer
index = self.audiobuffer.ringbuffer.offset
self.last_data_time = self.audiobuffer.lastDataTime
available = index - self.old_index
if available < 0:
# ringbuffer must have grown or something...
available = 0
self.old_index = index
# if we have enough data to add a frequency column in the time-frequency plane, compute it
needed = int(2**self.Ndec)
realizable = int(np.floor(available / needed))
if realizable > 0:
for i in range(realizable):
floatdata = self.audiobuffer.data_indexed(
self.old_index, needed)
# first channel
y0 = floatdata[0, :]
y0_squared = y0**2
# subsample
y0_squared_dec = self.subsampler.push(y0_squared)
self.level, self.zf = pyx_lfilter_float64_1D(
self.b, self.a, y0_squared_dec, self.zf)
self.level_rms = 10. * np.log10(max(self.level, 1e-150))
l = np.array([self.level_rms])
l.shape = (1, 1)
self.ringbuffer.push(l)
self.old_index += needed
self.time = np.arange(
self.length_samples) / self.subsampled_sampling_rate
levels = self.ringbuffer.data(self.length_samples)
self.PlotZoneUp.setdata(self.time / 60., levels[0, :])
# method
def canvasUpdate(self):
# nothing to do here
return
def setmin(self, value):
self.level_min = value
self.PlotZoneUp.setverticalrange(self.level_min, self.level_max)
def setmax(self, value):
self.level_max = value
self.PlotZoneUp.setverticalrange(self.level_min, self.level_max)
# slot
def settings_called(self, checked):
self.settings_dialog.show()
# method
def saveState(self, settings):
self.settings_dialog.saveState(settings)
# method
def restoreState(self, settings):
self.settings_dialog.restoreState(settings)
class LongLevelWidget(QtWidgets.QWidget):
def __init__(self, parent=None, logger=PrintLogger()):
super().__init__(parent)
self.setObjectName("LongLevels_Widget")
self.logger = logger
self.setObjectName("Scope_Widget")
self.gridLayout = QtWidgets.QGridLayout(self)
self.gridLayout.setObjectName("gridLayout")
self.PlotZoneUp = TimePlot(self, self.logger)
self.PlotZoneUp.setObjectName("PlotZoneUp")
self.PlotZoneUp.setverticaltitle("Level (dB FS RMS)")
self.PlotZoneUp.sethorizontaltitle("Time (min)")
self.PlotZoneUp.setTrackerFormatter(lambda x, y: "%.3g min, %.3g" %
(x, y))
self.level_min = DEFAULT_LEVEL_MIN
self.level_max = DEFAULT_LEVEL_MAX
self.PlotZoneUp.setverticalrange(self.level_min, self.level_max)
self.gridLayout.addWidget(self.PlotZoneUp, 0, 0, 1, 1)
self.logger = logger
self.audiobuffer = None
# initialize the settings dialog
self.settings_dialog = LongLevels_Settings_Dialog(self, self.logger)
# initialize the class instance that will do the fft
self.proc = audioproc(self.logger)
#self.response_time = 60. # 1 minute
self.response_time = 1.
# an exponential smoothing filter is a simple IIR filter
# s_i = alpha*x_i + (1-alpha)*s_{i-1}
# we compute alpha so that the n most recent samples represent 100*w percent of the output
w = 0.65
# how many times we should decimate to end up with 100 points in the kernel
self.Ndec = int(
max(0,
np.floor(
(np.log2(self.response_time * SAMPLING_RATE / 100.)))))
n = self.response_time * SAMPLING_RATE / 2**self.Ndec
N = int(5 * n)
self.alpha = 1. - (1. - w)**(1. / (n + 1))
self.kernel = (1. - self.alpha)**(np.arange(0, N)[::-1])
self.level = None # 1e-30
self.level_rms = -200.
self.two_channels = False
self.i = 0
self.subsampled_sampling_rate = SAMPLING_RATE / 2**(self.Ndec)
self.subsampler = Subsampler(self.Ndec)
self.old_index = 0
self.length_seconds = 60. * 10
# actually this should be linked to the pixel width of the plot area
self.length_samples = self.length_seconds * self.subsampled_sampling_rate
# ringbuffer for the subsampled data
self.ringbuffer = RingBuffer(self.logger)
# method
def set_buffer(self, buffer):
self.audiobuffer = buffer
def handle_new_data(self, floatdata):
# we need to maintain an index of where we are in the buffer
index = self.audiobuffer.ringbuffer.offset
self.last_data_time = self.audiobuffer.lastDataTime
available = index - self.old_index
if available < 0:
# ringbuffer must have grown or something...
available = 0
self.old_index = index
# if we have enough data to add a frequency column in the time-frequency plane, compute it
needed = 2**self.Ndec
realizable = int(np.floor(available / needed))
if realizable > 0:
for i in range(realizable):
floatdata = self.audiobuffer.data_indexed(
self.old_index, needed)
# first channel
y0 = floatdata[0, :]
y0_squared = y0**2
# subsample
y0_squared_dec = self.subsampler.push(y0_squared)
# exponential smoothing
if self.level is None:
self.level = y0_squared_dec[0]
else:
self.level = self.alpha * y0_squared_dec[0] + (
1. - self.alpha) * self.level
self.level_rms = 10. * np.log10(max(self.level, 1e-150))
l = np.array([self.level_rms])
l.shape = (1, 1)
self.ringbuffer.push(l)
self.old_index += int(needed)
self.time = np.arange(
self.length_samples) / self.subsampled_sampling_rate
levels = self.ringbuffer.data(self.length_samples)
self.PlotZoneUp.setdata(self.time / 60., levels[0, :])
# method
def canvasUpdate(self):
# nothing to do here
return
def setmin(self, value):
self.level_min = value
self.PlotZoneUp.setverticalrange(self.level_min, self.level_max)
def setmax(self, value):
self.level_max = value
self.PlotZoneUp.setverticalrange(self.level_min, self.level_max)
# slot
def settings_called(self, checked):
self.settings_dialog.show()
# method
def saveState(self, settings):
self.settings_dialog.saveState(settings)
# method
def restoreState(self, settings):
self.settings_dialog.restoreState(settings)