Numpy convolve() method is used to return discrete, linear convolution of two 1-dimensional vectors. **What does convolution mean? **In mathematical terms, convolution is a mathematical operator who is generally used in signal processing. An  array in numpy acts as the signal. The convolution of given two signals (arrays in case of numpy) can be defined as the integral of the first signal (array), reversed, convolved onto the second signal (array), and multiplied (with the scalar product) at the points wherever the vectors overlap.

The discrete convolution operation can be defined using the function given as:

(v1 * v2) [n] = ∑ v1[m]v2[n-m]

Syntax

numpy.convolve (v1, v2, mode)

#numpy #ython