`scipy.signal._signaltools:deconvolve`

source: build-install/usr/lib/python3.14/site-packages/scipy/signal/_signaltools.py:2409

Signature

def deconvolve(signal, divisor)

Summary

Deconvolves divisor out of signal using inverse filtering.

Extended Summary

Returns the quotient and remainder such that signal = convolve(divisor, quotient) + remainder

Parameters

signal : (N,) array_like: Signal data, typically a recorded signal
divisor : (N,) array_like: Divisor data, typically an impulse response or filter that was applied to the original signal

Returns

quotient : ndarray: Quotient, typically the recovered original signal
remainder : ndarray: Remainder

Examples

Deconvolve a signal that's been filtered:

from scipy import signal
original = [0, 1, 0, 0, 1, 1, 0, 0]
impulse_response = [2, 1]
recorded = signal.convolve(impulse_response, original)
recorded
recovered, remainder = signal.deconvolve(recorded, impulse_response)

✓

recovered

✗

array([0., 1., 0., 0., 1., 1., 0., 0.])

remainder

✓

array([0., 0., 0., 0., 0., 0., 0., 0., 0.])

Aliases

scipy.signal.deconvolve