An Investigation of Stationary Signal Blind Separation Using Adaptive Algorithms

Blind source separation attempts to recover unknown independent sources from a given set of observed mixtures. The two adaptive algorithms -EASI and RLS are introduced in this chapter, the separation simulation of a set of stationary signals is constructed. Through the comparative analysis, the result shows that the RLS algorithm has better convergence speed and the steady state performance than the EASI algorithm for blind signal separation of stationary signal. In the RLS algorithm, we need select appropriate forgetting factor to meet the demand of convergence speed and steady state performance.