# 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

`scipy.signal.dfeqresp`
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]`).