cupyx.scipy.signal.normalize#

cupyx.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]).