kaiser_atten(numtaps, width)
Given the number of taps :None:None:`N` and the transition width :None:None:`width`, compute the attenuation a in dB, given by Kaiser's formula:
a = 2.285 * (N - 1) * pi * width + 7.95
The number of taps in the FIR filter.
The desired width of the transition region between passband and stopband (or, in general, at any discontinuity) for the filter, expressed as a fraction of the Nyquist frequency.
The attenuation of the ripple, in dB.
Compute the attenuation of a Kaiser FIR filter.
Suppose we want to design a FIR filter using the Kaiser window method that will have 211 taps and a transition width of 9 Hz for a signal that is sampled at 480 Hz. Expressed as a fraction of the Nyquist frequency, the width is 9/(0.5*480) = 0.0375. The approximate attenuation (in dB) is computed as follows:
>>> from scipy.signal import kaiser_attenSee :
... kaiser_atten(211, 0.0375) 64.48099630593983
The following pages refer to to this document either explicitly or contain code examples using this.
scipy.signal._fir_filter_design.kaiserord
scipy.signal._fir_filter_design.kaiser_atten
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