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# 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 2d array to normalize multiple transfer functions. a: array_like Denominator of the transfer function. At most 1d.
  Returns: | num: array The numerator of the normalized transfer function. At least a 1d array. A 2d-array if the input num is a 2d array. den: 1d-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]`).