Create independent_component_analysis.m

Independent component analysis (ICA) is a method for finding underlying factors or components from multivariate (multidimensional) statistical data.
A very important requirement for this algorithim to work is  mutual statistical independence of the non-Gaussian source signals.The source signals cannot be gaussian.
The code I have written involves separation of 2 sound sources.However there is some amount of pre-processing that still needs to be done.
The algorithm I have used is due to Bell and Sejnowski, and the interpretation I have used be of their algorithm as a method for maximum likelihood estimation.The final problem is of calculating the inverse of the mixing matrix.