scipy.signal.normalize#
- scipy.signal.normalize(b, a)[source]#
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 + 5would be represented as[1, 3, 5]).