Underdetermined Sparse Blind Source Separation by Clustering on Hyperplanes

摘要：

In the underdetermined blind source separation and sparse component analysis, we get sensor signals X = AS ,where X ∈ RmxN, A ∈ Rmxn, S ∈ RnxN, because the mixed matrix A and source signals S arent known and m<n , namely, the number of sensor signals less than that of source signals, but we can know source signals are sparse, so we use the information to recover source signals by estimating the mixed matrix. This paper gives an algorithm for estimating mixed matrix based on sparse sources information in underdetermined blind separation by clustering on hyperplanes normal lines, and the good performance is shown by the last example.

关键词： underdetermined mizture sparse presentation blind separation mized matriz normal line

作者: Tan Beihai Zhao Min

作者单位: School of Electronic and Information Engineering South China University of Technology Guangzhou, China

会议类型: 国际会议

会议名称: Second International Symposium on Electronic Commerce and Security(第二届电子商务与安全国际研究大会)(ISECS 2009)

会议地点: 南昌

会议语种:英文

页码: 270-274

在线出版日期: 2009-05-22（万方平台首次上网日期，不代表论文的发表时间）