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bundles / scipy 2.0.0.dev0+git20260907.41eeb59 / scipy / signal / _ltisys / impulse

function

scipy.signal._ltisys:impulse

source: build-install/usr/lib/python3.14/site-packages/scipy/signal/_ltisys.py:2312

Signature

def impulse(system, X0 = None, T = None, N = None)

Summary

Impulse response of continuous-time system.

Parameters

system : an instance of the LTI class or a tuple of array_like

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)

X0 : array_like, optional

Initial state-vector. Defaults to zero.

T : array_like, optional

Time points. Computed if not given.

N : int, optional

The number of time points to compute (if T is not given).

Returns

T : ndarray

A 1-D array of time points.

yout : ndarray

A 1-D array containing the impulse response of the system (except for singularities at zero).

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]).

Examples

Compute the impulse response of a second order system with a repeated root: ``x''(t) + 2*x'(t) + x(t) = u(t)``
from scipy import signal
system = ([1.0], [1.0, 2.0, 1.0])
t, y = signal.impulse(system)
import matplotlib.pyplot as plt
✓
plt.plot(t, y)
✗
[<matplotlib.lines.Line2D object at 0x7f3f6820b380>]

Aliases

  • scipy.signal.impulse