`scipy.signal._fir_filter_design:kaiser_atten`

source: /scipy/signal/_fir_filter_design.py :76

Signature

def kaiser_atten ( numtaps , width )

Summary

Compute the attenuation of a Kaiser FIR filter.

Extended Summary

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 : float: The attenuation of the ripple, in dB.

Notes

Array API Standard Support

kaiser_atten is not in-scope for support of Python Array API Standard compatible backends other than NumPy.

See dev-arrayapi for more information.

Examples

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_atten
kaiser_atten(211, 0.0375)

✓

Aliases

scipy.signal.kaiser_atten

Referenced by

This package

scipy.signal._fir_filter_design:firwin