Improved DUET for Underdetermined Blind Source Separation

摘要：

the source recovery step in underdetermined blind source separation is probed in this paper. DUET is famous method in underdetermined blind source separation. However, it requires the sources are approximately disjoint. To obtain good results in sources recovery, an improved DUET algorithm is proposed for two mixtures. The algorithm utilizes DUET after the rotation of the mixing matrix and mixtures. Several speech signals experiments demonstrate its performance and practical.

关键词： underdetermined blind source separation disjointness time frequency mask sparse representation

作者: Feng Gao Gongxian Sun Ming Xiao

作者单位: School of Electrics & Information Engineering, South China University of Technology, Guangzhou 51064 School of Electrics & Information Engineering, South China University of Technology, Guangzhou 51064

会议类型: 国际会议

会议名称: 2010 International Conference on Signal and Information Processing(2010年IEEE信号与信息处理国际会议 ICSIP2010)

会议地点: 长沙

会议语种:英文

页码: 427-429

在线出版日期: 2010-12-14（万方平台首次上网日期，不代表论文的发表时间）