deconvolve(signal, divisor)
Returns the quotient and remainder such that signal = convolve(divisor, quotient) + remainder
Signal data, typically a recorded signal
Divisor data, typically an impulse response or filter that was applied to the original signal
Deconvolves divisor
out of signal
using inverse filtering.
numpy.polydiv
performs polynomial division (same operation, but also accepts poly1d objects)
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 array([0, 2, 1, 0, 2, 3, 1, 0, 0])
>>> recovered, remainder = signal.deconvolve(recorded, impulse_response)See :
... recovered array([ 0., 1., 0., 0., 1., 1., 0., 0.])
The following pages refer to to this document either explicitly or contain code examples using this.
scipy.signal._signaltools.deconvolve
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