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# scipy.signal.firwin

`scipy.signal.``firwin`(N, cutoff, width=None, window='hamming')

  FIR Filter Design using windowed ideal filter method.

  Parameters: | N – order of filter (number of taps) : cutoff – cutoff frequency of filter (normalized so that 1 corresponds to : Nyquist or pi radians / sample) width – if width is not None, then assume it is the approximate width of : the transition region (normalized so that 1 corresonds to pi) for use in kaiser FIR filter design. window – desired window to use. :
  Returns: | h – coefficients of length N fir filter. :

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