NGA achieves blind source separation with mutual information minimum
Li Fei Deng · Computer Engineering and Applications Journal · 2013
A new proposed Blind Source Separation(BSS)algorithm with Natural Gradient Algorithm(NGA)achieves Minimum Mutual Information(MMI). It is reasonable to adopt mutual information to illustrate the similarity of the autocorrelation function and the information. To achieve the ideal separation matrix with MMI, the natural gradient algorithm is applied to the separation matrix optimization process. Simulation results verify the validity of the proposed algorithm. Simulation results show that the proposed algorithm has faster convergence speed and better separation effect than traditional gradient algorithm.