Descent Gradient 1D Deconvolution

deconvolves H from X * H = Y form, being 1D arrays.

Uses Simulated Annealing on step reduction
Uses Descent Gradient on each coefficient of H
Algorithm stops when desired Root Mean Square Deviation or a minimum step size is reached