Improved algorithm of natural gradient blind source separation with kurtosis
Feilong Chen · Computer Engineering and Applications Journal · 2011
Because of quick convergence rate and good separation performance,natural gradient algorithm occupies importance position in blind source separation.Natural gradient algorithm adopts fix-step,so they cannot resolve the contradiction between convergence speed and the error in the steady state.By building a nonlinear function relationship between the step size factor and the square sum of the kurtosis,the paper proposes an adaptive natural gradient algorithm.Computer simulation result confirms the algorithm’s validity,and shows that the algorithm’s performance is superior to natural gradient algorithm.