# 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 + 5 would be represented as [1, 3, 5]).

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