A NEW METHOD FOR BLIND SOURCE SEPARATION

摘要：

A method of network component analysis(NCA) which separates blind sources using a priori information on the mixing matrix was put forward. Therefore blind source separation can be achieved without the assumption of statistical independence. Performance analysis is given comparing to FastICA and JADE through computer simulation. The superiority of NCA is validated without the assumption of statistical independence.

关键词： Network Component Analysis(NCA) Independent Component Analysis(ICA) Blind Source Separation(BSS)

作者: LING-YE NIE LEI LI JIA-MING CHEN

作者单位: Pattern Recognition and Intelligence System, Institute of Automatic Control Engineering of Nanjing University of Posts and Telecomunications , Nanjing 210003 ,China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 2217-2222

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）