scipy.signal.

kaiser_atten

scipy.signal.kaiser_atten(numtaps, width)

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:

numtapsint

The number of taps in the FIR filter.

widthfloat

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:

afloat

The attenuation of the ripple, in dB.

See also

kaiserord, kaiser_beta

Notes

Array API Standard Support

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

See Support for the array API standard for more information.

Examples

Try it in your browser!

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

Go BackOpen In Tab