cupyx.scipy.signal.freqresp#

cupyx.scipy.signal.freqresp(system, w=None, n=10000)[source]#

Calculate the frequency response of a continuous-time system.

Parameters:

  • system (an instance of the lti class or a tuple describing the system.) –

    The following gives the number of elements in the tuple and the interpretation:

    • 1 (instance of lti)

    • 2 (num, den)

    • 3 (zeros, poles, gain)

    • 4 (A, B, C, D)

  • w (array_like, optional) – Array of frequencies (in rad/s). Magnitude and phase data is calculated for every value in this array. If not given, a reasonable set will be calculated.

  • n (int, optional) – Number of frequency points to compute if w is not given. The n frequencies are logarithmically spaced in an interval chosen to include the influence of the poles and zeros of the system.

Returns:

  • w (1D ndarray) – Frequency array [rad/s]

  • H (1D ndarray) – Array of complex magnitude values

Notes

If (num, den) is passed in for system, 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]).

See also

scipy.signal.freqresp