Researchon Independent Component Analysis of Blind Signal Separation
Jing Xie · Radio Engineering · 2012
BSS means separating the statistically independen t source signals from their mixture.Independent component analysis(ICA) is a ne w method of blind source separation.It has attracted great attention and has bee n an attractive trend because of its potential application in signal processing such as speech signal processing,array signal processing,biological and medica l signal processing,and wireless communication and image processing.A non-Gaus sian maximization ICA algorithm based on fourth-order cumulants is introduced.A nd the simulation results of communication signal separation are given.The resul ts show that the algorithm is effective.