The Multi-component Signal Model and Learning Algorithm of Blind Source Separation

摘要：

　　The current study proposes a polynomial mixture model that has better precision than general models for describing real situations.Signal separation can be achieved using an information maximization criterion that does not require the probability density function of observed signals.Numerical simulation was performed in the current study to illustrate the efficiency of the proposed method.

作者: T.-J.Zeng Q.-Y.Feng X.-H.Yuan H.-B.Ma

作者单位: School of Information Science and Technology,Southwest Jiaotong University,Sichuan 610031,China School of Electric Engineering,Southwest Jiaotong University,Sichuan 610031,China

会议类型: 国际会议

会议名称: Progress in Electromagnetics Research Symposium 2013(2013年电磁学研究新进展学术研讨会)

会议地点: 台北

会议语种:英文

页码: 565-569

在线出版日期: 2013-03-01（万方平台首次上网日期，不代表论文的发表时间）