def filters(array, sample_frequency):
""" Apply preprocessing such as whitening and bandpass """
strain = TimeSeries(array, sample_rate=int(sample_frequency))
white_data = strain.whiten(fftlength=4, fduration=4)
bp_data = white_data.bandpass(50, 250)
return bp_data.value
def filters(array, sample_frequency):
strain = TimeSeries(array, sample_rate=int(sample_frequency))
white_data = strain.whiten(fftlength=4, fduration=4)
bp_data = white_data.bandpass(50, 250)
return (bp_data.value)
def whitenStrain(self):
strain_gw = TimeSeries(self.strain)
self.whitened = strain_gw.whiten(4, 2).value
