Improving algorithm speed in PNL mixture separation and Wiener system inversion
Jordi Solé‐Casals, Massoud Babaie‐Zadeh, Christian Jutten, Dinh-Tuan Pham · RIUVic (UVic-UCC) · 2003
This paper proposes a very simple method for increasing the algorithm speed for separating sources from PNL mixtures or invertingWiener systems. The method is based on a pertinent initialization of the inverse system, whose computational cost is very low. The nonlinear part is roughly approximated by pushing the observations to be Gaussian; this method provides a surprisingly good approximation even when the basic assumption is not fully satisfied. The linear part is initialized so that outputs are decorrelated. Experiments shows the impressive speed improvement.