use python to selve !

For each element Mij in M (start with window size m) V1= W(median) W(min) V2= W(median) W(max) If (V1 > 0 and V2 0 and Q2 we have to reduce the noise effect. This was done by adding more sensors (N sensors). And reading each one of them N times at fixed time intervals, The result is a NxN matrix of sensors' readings. So far, the noise is still present in the readings. You task is to write a python implementation of the following algorithm to reduce the noise in the NxN data obtained from the sensors. M: is the N X N matrix of input Mij: is the current element we are processing W: is the window of size m x m where the My is the center of the window, m is between [3 - Max], Max-11 Window W Mij 01