A new algorithm of evolutional blind source separation based on genetic algorithm
Musen Li, Jianqin Mao · 2004
A new algorithm of blind source separation based on genetic algorithm has been proposed in this paper. It is used with the iteration core of fixed-point algorithm to find the best separation matrix. It enhances the speed of algorithm and depends less on the selecting of training samples. At the same time, this algorithm has virtues of global convergence and high precision.