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- self.gaussian_taps = filter.firdes.gaussian(
- 1, # gain
- samples_per_symbol, # symbol_rate
- bt, # bandwidth * symbol time
- ntaps # number of taps
- )
- self.sqwave = (1,) * samples_per_symbol # rectangular window
- self.taps = numpy.convolve(numpy.array(self.gaussian_taps),numpy.array(self.sqwave))
- self.gaussian_filter = filter.interp_fir_filter_fff(samples_per_symbol, self.taps)
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