计算机技术与发展2011，Vol.21Issue(12)：93-96,4.
基于FastICA算法的盲源分离
Blind Source Separation Based on FastICA Algorithm
摘要
Abstract
ICA has been a primary method solving BSS in recent years,and aroused more and more concern,so discuss the principle and superiority. In this paper,introduce ICA and FastICA algorithm firstly,then analyze simulation result by FastICA, gradient algorithm and PCA. Through verification,absolute value of correlation coefficient between separation signals and source signals is not less than 0.99. Compared with other algorithms,conclude FastICA is a more effective algorithm.关键词
独立成分分析/盲源分离/主成分分析/梯度算法Key words
independent component analysis/bund source separation/principal component analysis/gradient algorithm分类
信息技术与安全科学引用本文复制引用
王建雄,张立民,钟兆根..基于FastICA算法的盲源分离[J].计算机技术与发展,2011,21(12):93-96,4.基金项目
国家自然科学基金(61032001,60972159,61002006) （61032001,60972159,61002006）
