scipy.signal.kaiser_beta#

scipy.signal.kaiser_beta(a)[source]#

Compute the Kaiser parameter beta, given the attenuation a.

Parameters

afloat: The desired attenuation in the stopband and maximum ripple in the passband, in dB. This should be a positive number.

Returns

betafloat: The beta parameter to be used in the formula for a Kaiser window.

References

Oppenheim, Schafer, “Discrete-Time Signal Processing”, p.475-476.

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)
6.20426