cupyx.scipy.signal.dfreqresp#

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

Calculate the frequency response of a discrete-time system.

Parameters:

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

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

    • 1 (instance of dlti)

    • 2 (numerator, denominator, dt)

    • 3 (zeros, poles, gain, dt)

    • 4 (A, B, C, D, dt)

  • w (array_like, optional) – Array of frequencies (in radians/sample). 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.

  • whole (bool, optional) – Normally, if ‘w’ is not given, frequencies are computed from 0 to the Nyquist frequency, pi radians/sample (upper-half of unit-circle). If whole is True, compute frequencies from 0 to 2*pi radians/sample.

Returns:

  • w (1D ndarray) – Frequency array [radians/sample]

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

See also

scipy.signal.dfeqresp

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. z^2 + 3z + 5 would be represented as [1, 3, 5]).