dstep — SciPy v1.15.3 Manual (original) (raw)
scipy.signal.
scipy.signal.dstep(system, x0=None, t=None, n=None)[source]#
Step response of discrete-time system.
Parameters:
systemtuple of array_like
A tuple describing the system. The following gives the number of elements in the tuple and the interpretation:
- 1: (instance of dlti)
- 3: (num, den, dt)
- 4: (zeros, poles, gain, dt)
- 5: (A, B, C, D, dt)
x0array_like, optional
Initial state-vector. Defaults to zero.
tarray_like, optional
Time points. Computed if not given.
nint, optional
The number of time points to compute (if t is not given).
Returns:
toutndarray
Output time points, as a 1-D array.
youttuple of ndarray
Step response of system. Each element of the tuple represents the output of the system based on a step response to each input.
Examples
import numpy as np from scipy import signal import matplotlib.pyplot as plt
butter = signal.dlti(*signal.butter(3, 0.5)) t, y = signal.dstep(butter, n=25) plt.step(t, np.squeeze(y)) plt.grid() plt.xlabel('n [samples]') plt.ylabel('Amplitude')