A method of blind source separation based on maximizing the trust region of negative entropy
HE Xiao-chuan · 2010
Blind separation of linearly mixed signals is studied in this paper. A method of blind source separation based on maximizing the trust region of negative entropy is proposed.This approach not only retains the fast convergence characteristics of Newton method,but also has global convergence.These two methods are both used for the separation of three-way random mixed signals.Simulation results show that trust region method has the same convergence rate as Newton method,while it has better steady state performance.The steady-state error can reduce about 7dB compared with that of the Newton method.