Genetic Algorithm Approach to Blind Source Separation
Wei Yu · Journal of Wuhan Yejin University of Science and Technology · 2003
Independent component analysis(ICA) is a new technique in signal processing .The goal of ICA is to find a separation matrix so that each component of the output signal obtained by transforming the observed multidimensional mixture of data is independent. A new genetic algorithm which combines GA with ICA for blind source separation is proposed in this paper. The convergence and stability of the algorithm are analysed and their validity is confirmed by the signal separation test.