def __init__(self, parent):
super().__init__(parent)
self.audiobuffer = None
self.setObjectName("Spectrum_Widget")
self.gridLayout = QtWidgets.QGridLayout(self)
self.gridLayout.setObjectName("gridLayout")
self.PlotZoneSpect = HistPlot(self)
self.PlotZoneSpect.setObjectName("PlotZoneSpect")
self.gridLayout.addWidget(self.PlotZoneSpect, 0, 0, 1, 1)
self.spec_min = DEFAULT_SPEC_MIN
self.spec_max = DEFAULT_SPEC_MAX
self.weighting = DEFAULT_WEIGHTING
self.response_time = DEFAULT_RESPONSE_TIME
self.PlotZoneSpect.setspecrange(self.spec_min, self.spec_max)
self.PlotZoneSpect.setweighting(self.weighting)
self.filters = octave_filters(DEFAULT_BANDSPEROCTAVE)
self.dispbuffers = [0] * DEFAULT_BANDSPEROCTAVE * NOCTAVE
# set kernel and parameters for the smoothing filter
self.setresponsetime(self.response_time)
# initialize the settings dialog
self.settings_dialog = OctaveSpectrum_Settings_Dialog(self)
def __init__(self, parent, logger=None):
QtGui.QWidget.__init__(self, parent)
# store the logger instance
if logger is None:
self.logger = parent.parent.logger
else:
self.logger = logger
self.audiobuffer = None
self.setObjectName("Spectrum_Widget")
self.gridLayout = QtGui.QGridLayout(self)
self.gridLayout.setObjectName("gridLayout")
self.PlotZoneSpect = HistPlot(self, self.logger)
self.PlotZoneSpect.setObjectName("PlotZoneSpect")
self.gridLayout.addWidget(self.PlotZoneSpect, 0, 0, 1, 1)
self.setStyleSheet(STYLESHEET)
self.spec_min = DEFAULT_SPEC_MIN
self.spec_max = DEFAULT_SPEC_MAX
self.weighting = DEFAULT_WEIGHTING
self.response_time = DEFAULT_RESPONSE_TIME
self.PlotZoneSpect.setspecrange(self.spec_min, self.spec_max)
self.PlotZoneSpect.setweighting(self.weighting)
self.filters = octave_filters(DEFAULT_BANDSPEROCTAVE)
#self.bankbuffers = [RingBuffer() for band in range(0, DEFAULT_BANDSPEROCTAVE*NOCTAVE)]
self.dispbuffers = [0] * DEFAULT_BANDSPEROCTAVE * NOCTAVE
# 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
decs = self.filters.get_decs()
ns = [self.response_time * SAMPLING_RATE / dec for dec in decs]
Ns = [2 * 4096 / dec for dec in decs]
self.alphas = [1. - (1. - w)**(1. / (n + 1)) for n in ns]
#print ns, Ns
self.kernels = self.compute_kernels(self.alphas, Ns)
# initialize the settings dialog
self.settings_dialog = OctaveSpectrum_Settings_Dialog(
self, self.logger)
