On the basis of analyzing the independent component analysis algorithms, a novel method based on particle swarm optimization was proposed to minimize the mutual information, which through improving position vector and velocity vector to get the global optimization solution and then separate the mixed signals. The simulation results showed that the independent component analysis based on particle swarm optimization was a more efficient algorithm.
参考文献
相似文献
引证文献
引用本文
张文希,郑茂. 基于粒子群优化的独立分量分析算法研究[J]. 科学技术与工程, 2010, (8): . Zhang Wenxi, Zheng Mao. Research on Independent Component Analysis Based on Particle Swarm Optimization Algorithms[J]. Science Technology and Engineering,2010,(8).