I have been told that I need to minimise the error between two matrices, like so.
Where A_1 and A_2 are convolution folding matrices. x represents the desired filter and s the actual filter. I need to minimise the error between x and s. So using Cholesky, I would do this
but the answer in my book is:
Can someone explain how that answer was derived?