bundles / scipy latest / scipy / signal / _fir_filter_design / kaiser_beta
function
scipy.signal._fir_filter_design:kaiser_beta
Signature
def kaiser_beta ( a ) Summary
Compute the Kaiser parameter beta, given the attenuation a.
Parameters
a: floatThe desired attenuation in the stopband and maximum ripple in the passband, in dB. This should be a positive number.
Returns
beta: floatThe beta parameter to be used in the formula for a Kaiser window.
Notes
Array API Standard Support
kaiser_beta 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 lowpass filter, with 65 dB attenuation in the stop band. The Kaiser window parameter to be used in the window method is computed by ``kaiser_beta(65)``:from scipy.signal import kaiser_beta kaiser_beta(65)✓
Aliases
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scipy.signal.kaiser_beta