# scipy.signal.normalize

scipy.signal.normalize(b, a)

  Normalize numerator/denominator of a continuous-time transfer function.

  If values of b are too close to 0, they are removed. In that case, a BadCoefficients warning is emitted.

  Parameters
    b: array_like

      Numerator of the transfer function. Can be a 2-D array to normalize multiple transfer functions.

    a: array_like

      Denominator of the transfer function. At most 1-D.

  Returns
    num: array

      The numerator of the normalized transfer function. At least a 1-D array. A 2-D array if the input num is a 2-D array.

    den: 1-D array

      The denominator of the normalized transfer function.

  Notes

  Coefficients for both the numerator and denominator should be specified in descending exponent order (e.g., `s^2 + 3s + 5` would be represented as `[1, 3, 5]`).

scipy.signal.lp2lp_zpk scipy.signal.butter