The Research on the Adaptive Algorithms of Blind Signal Separation
Zhong Liu · Computing Technology and Automation · 2008
The separation of the blind signal is very important in the field of signal processing.The aim of BSS(Blind Signal Separation) is to recover the originalindependent source signals from their mixed signal vectors,by constructing a certain transform.The two adaptive algorithms of blind signal separation—LMS and RLS is introduced and make experiments using synthetic data and real data,then observe the characteristics and effects of the two algorithms,making analysis and comparison.The resalt shows that RLS algorithm has better convergence than LMS alyorithm and theres oscillation in RLS algon′thm′s stability.Appropriate parametcrs and methocls should be choosed in its practtcal application.