cupyx.scipy.signal.kaiser_atten#

cupyx.scipy.signal.kaiser_atten(numtaps, width)[source]#

Compute the attenuation of a Kaiser FIR filter.

Given the number of taps N and the transition width width, compute the attenuation a in dB, given by Kaiser’s formula:

a = 2.285 * (N - 1) * pi * width + 7.95

Parameters:

numtaps (int) – The number of taps in the FIR filter.
width (float) – 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.

Returns:

a – The attenuation of the ripple, in dB.

Return type:

float