Research of blind signal separation algorithm based on ICA method

Abstract

This paper studies a kind of blind source separation algorithm-independent component analysis (ICA) and the application in blind source signal separation. First of all, we introduce the blind source separation in theory, and then introduce the specific algorithm analysis, as well as analyze the mathematical model and principle of the ICA in detail. This paper discusses the different independence standards and the existing ICA several main algorithm, focus on the Fast ICA algorithm. Fast ICA algorithm is based on the maximum principle of non-gaussian and adopt Newton iterative algorithm, which is a fast algorithm in ICA and has wide application prospect. © Springer-Verlag Berlin Heidelberg 2011.