Dynamic independent component analysis based on information maximization
Zhong Bo-cheng · Journal of Hefei University of Technology · 2009
For the limitations of the static independent component analysis(ICA) algorithm in analyzing the strongly non-stationary bioelectrical signals,the paper studies the dynamic independent component analysis algorithm based on information maximization and compares it with the static ICA algorithm.Simulation results show that the dynamic ICA algorithm has good performance in blind source separation,and also achieves an excellent result with time variant mixing.