Cebysev Coefficients - Based Algorithm for Estimating the ICA Model

摘要

The aim of the present paper is to propose a new algorithm for the estimation of the ICA model, an algorithm based on Cebysev method. The first sections briefly present the standard FastICA algorithm based on the Newton method and a new version of the FastICA algorithm. The proposed algorithm to estimate the independent components use a superior order method as Cebysev coefficients technique. The final section presents the results of a comparative analysis experimentally derived conclusions concerning the performance of the proposed method. The tests were performed for signals source separation purposes.