I am looking for an alternative way of analysing my data which will be used for ML. I am using Matlab to implement my code. Using my code, I obtain arrays which are used to describe signals. Each array represents a new and different signal.
I have used the corrcoeff method in Matlab and it delivered what I needed. But, I need another alternative way to verify the correlation between all the signals. Is there a better way to do this which is easy to interpret?
Dumb question: is it better to compare the images of the signal generated by Matlab or to compare the arrays?
Forgive me if this sounds badly formulated but I hope it is clear.
Thank you in advanced!