def __init__(self):
Filter.__init__(self)
self.size = 11
self.order = 5
self.deriv = 0
self.rate = 1
self.config = ["size","order"]
def __init__(self):
Filter.__init__(self)
self.window_list = ["Boxcar","Bartlett","Blackman","Hamming","Hanning","Blackman-Harris","Lanczos","Custom..."]
self.custom = 'np.exp(-4*x**2)'
self.type = 0
self.is_pre_filter = True
self.config = ["custom","type"]
def __init__(self):
Filter.__init__(self)
self.ref = None
self.source = None
self.arrays = []
self.is_reference = True
self.imethod = 1
self.methods = ["nearest","linear","quadratic","cubic"]
self.config = ["imethod"]
pub.subscribe(self.set_arrays, "history.arrays")
def __init__(self):
Filter.__init__(self)
self.window_list = ["Boxcar", "Triangular", "Blackman", "Hamming", "Hann", "Bartlett", "Flat top", "Parzen", "Bohman", "Blackman-Harris", "Nuttall", "Bartlett-Hann"]
self.window_code = ["boxcar", "triang", "blackman", "hamming", "hann", "bartlett", "flattop", "parzen", "bohman", "blackmanharris", "nuttall", "barthann"]
self.type = 0
self.length = 20.0
self.overlap = 50.0
self.scaling = 0
self.is_transform = True
self.config = ["type","length","overlap","scaling"]
def __init__(self):
Filter.__init__(self)
self.window = ApodizationWindow()
self.window_list = self.window.window_list
self.custom = 'np.exp(-4*x**2)'
self.type = 0
self.size = 11.0
self.relative = True
self.position = 25.0
self.is_pre_filter = True
self.config = ["custom","type","size","relative","position"]
def __init__(self):
Filter.__init__(self)
self.wl_filter_list = []
self.wl_filter_code = []
self.threshold = 0.1
self.auto_threshold = True
for x in pywt.wavelist():
p = pywt.Wavelet(x)
self.wl_filter_list.append(p.family_name + " " + str(p.number))
self.wl_filter_code.append(p.name)
self.type = 'bior6.8'
self.thresholding = 0
self.config = ["threshold","auto_threshold","type","thresholding"]
def __init__(self):
"""
Initialization.
"""
Filter.__init__(self)
# Insert here what should be done when the filter instance is created
# This will be executed only once
self.is_pre_filter = False # set to True if this filter can be applied before a transform (e.g. windowing)
self.is_transform = False # set to True if this filter is a transform (Fourier or something else)
self.is_reference = False # set to True if this filter sets a reference
self.is_active = True # set to True if this filter is active
self.is_visible = True # set to True if this filter is visible in the menu
self.config = ['is_visible'] # list of variables to be saved in external config file
def __init__(self):
Filter.__init__(self)
self.ref = None
self.source = None
self.arrays = []
self.is_reference = True
#self.is_visible = False
self.thickness = 3000.0
self.deviation = 2.0
self.imethod = 1
self.methods = ["nearest","linear","quadratic","cubic"]
self.imaginary = False
self.host = 1.0 # index of surrounding medium
self.config = ["thickness","deviation","host","imaginary","imethod"]
pub.subscribe(self.set_arrays, "history.arrays")
def __init__(self):
Filter.__init__(self)
self.factor = 1.0
self.config = ["factor"]
def __init__(self):
Filter.__init__(self)
def __init__(self):
Filter.__init__(self)
self.power = 2.0
self.config = ["power"]
def __init__(self):
Filter.__init__(self)
self.position = 3.0
self.width = 0.1
self.config = ["position","width"]
def __init__(self):
Filter.__init__(self)
self.imethod = 1
self.methods = ["nearest","linear","quadratic","cubic"]
self.config = ["imethod"]
def __init__(self):
Filter.__init__(self)
self.is_visible = True
self.nf = 100
self.config = ["nf"]
def __init__(self):
Filter.__init__(self)
self.is_transform = True
self.output_names = ["Complex (full spectrum)","Amplitude","Phase","Real","Imaginary"]
self.output_qty = 1 # by default, return amplitude
self.config = ["output_qty"]
def __init__(self):
Filter.__init__(self)
self.threshold = 1.0 # unwrap threshold (in units of pi)
self.config = ["threshold"]
def __init__(self):
Filter.__init__(self)
self.is_transform = True
