# scipy.signal.kaiser_atten¶

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

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)
64.48099630593983


#### Previous topic

scipy.signal.iirfilter

#### Next topic

scipy.signal.kaiser_beta