scipy.signal.
deconvolve#
- scipy.signal.deconvolve(signal, divisor)[source]#
- Deconvolves - divisorout of- signalusing inverse filtering.- 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:
- quotientndarray
- Quotient, typically the recovered original signal 
- remainderndarray
- Remainder 
 
 - See also - numpy.polydiv
- performs polynomial division (same operation, but also accepts poly1d objects) 
 - 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 array([0, 2, 1, 0, 2, 3, 1, 0, 0]) >>> recovered, remainder = signal.deconvolve(recorded, impulse_response) >>> recovered array([ 0., 1., 0., 0., 1., 1., 0., 0.])