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# scipy.signal.findfreqs

`scipy.signal.``findfreqs`(num, den, N)

  Find an array of frequencies for computing the response of a filter.

  Parameters: | num, den : array_like, 1-D The polynomial coefficients of the numerator and denominator of the transfer function of the filter or LTI system. The coefficients are ordered from highest to lowest degree. N : int The length of the array to be computed.
  Returns: | w : (N,) ndarray A 1-D array of frequencies, logarithmically spaced.

  Examples

  Find a set of nine frequencies that span the “interesting part” of the frequency response for the filter with the transfer function

  > H(s) = s / (s^2 + 8s + 25)

      >>> findfreqs([1, 0], [1, 8, 25], N=9)
      array([  1.00000000e-02,   3.16227766e-02,   1.00000000e-01,
               3.16227766e-01,   1.00000000e+00,   3.16227766e+00,
               1.00000000e+01,   3.16227766e+01,   1.00000000e+02])