Blind Source Separation Based on FastICA

摘要：

Blind source separation has common considerable attention from the signal processing community and the neural network community.lt is becoming a hot topic. The independent component analysis (ICA) is a new method of blind source separation which is developing in these years. In this paper,a fast algorithm of blind source separation based on ICA is introduced,the result of experiment show that Fast independent component analysis (FastICA) can separate every independent component effectively , It is more flexible and robust than those using the conventional independent component analysis methods.

关键词： BSS ICA FastICA

作者: Liu Yang Zhang Ming JiangLongbin

作者单位: Information Engineering College Shenyang University Shenyang P.R.C Shenyang University,liaoning Shenyang Software College Shenyang Normal University Shenyang P.R.C

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-5

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）