数字技术与应用Issue(6)：140-141,2.
基于 FastICA 的盲源分离算法研究
Fast ICA based Blind Source Signal Separation
摘要
Abstract
The fast independent component analysis is a effective algorithm used in blind source separation,this algorithm have the fastest convergence speed more than the batch processing and the adaptive processing. This paper introduces affixer-point algorithm which uses fourth order cumulant as the optimized criterion. Four source signals were discreted by simulation using Matlab,the results showed that this algorithm can discrete four signals effectively.关键词
盲分离/独立分量分析/四阶累计量Key words
Blind Source Separation/Independent Component Analysis/The Fourth Order Statistics分类
信息技术与安全科学引用本文复制引用
谢志明,吴德华..基于 FastICA 的盲源分离算法研究[J].数字技术与应用,2013,(6):140-141,2.基金项目
湖南省高等学校科学研究项目(10C0008) （10C0008）
