Blind source separation based on optimally selected estimating functions
Zhu Xiao · Journal of Xidian University · 2003
The problem of blind source separation based on the independent component analysis is considered. A new algorithm is proposed, which uses the estimating function with faster convergence in the initial stage and the asymptotically optimal one with better steadystate performance in the tracking stage. The proposed algorithm is simple enough, and can overcome the contradiction inherent in existing approaches between convergence speed and steadystate performance. Finally, simulation results are presented to demonstrate its effectiveness.