Blind source separation based on information theory
Xiao Min · Yunnan Daxue xuebao. Shehui kexue ban · 2008
Recovering the unobserved source signals from their mixtures is a typical problem in array processing and analysis.Independent component analysis(ICA) is a new method to solve this problem.The most common way in independent component analysis is the separation based on information theory.FastICA algorithm and nature step algorithm are the main way in it.Some groups of signals were separated.The analysis and simulations suggest that the FastICA algorithm is the best way.