Scipy.signal.deconvolve returns an array of NaNs [closed]

1. How do you Deconvolve in Python?
2. What is deconvolution in signal processing?
3. What is convolution and deconvolution?

How do you Deconvolve in Python?

The deconvolution has n = len(signal) - len(gauss) + 1 points. So in order to let it also reside on the same original array shape we need to expand it by s = (len(signal)-n)/2 on both sides.

What is deconvolution in signal processing?

Deconvolution is the process of filtering a signal to compensate for an undesired convolution. The goal of deconvolution is to recreate the signal as it existed before the convolution took place. This usually requires the characteristics of the convolution (i.e., the impulse or frequency response) to be known.

What is convolution and deconvolution?

In mathematics, deconvolution is the operation inverse to convolution. Both operations are used in signal processing and image processing. For example, it may be possible to recover the original signal after a filter (convolution) by using a deconvolution method with a certain degree of accuracy.