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:
- 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 - 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