Underdetermined blind mizing model recovery using differential evolution and Hough transformation

摘要：

Underdetermined blind mixing model recovery (UBMMR) is one of the most important steps in separating underdetermined blind sources, which has a direct effect on the recovery accuracy of source signals. A new blind mixing model recovery algorithm is proposed, under the assumption that the sources are sparse. The mixture data observed are first allocated to several clusters using the partitional clustering algorithm based on differential evolution (DE). The cluster centers are amended through Hough transformation to recover the mixing model. The peak clustering problem in Hough transformation is successfully avoided at the same time. Experimental results show that the proposed algorithm has advantages of high robustness and accuracy compared with conventional algorithms.

关键词： Underdetermined blind mizing model recovery (UBMMR) blind source separation (BSS) differential evolution (DE) clustering Hough transformation

作者: Ning Fu Guangquan Zhao Xiyuan Peng

作者单位: Dept. of Automatic Test and Control, Harbin Institute of Technology, No.2, YiKuang Street,NanGang Di Dept. of Automatic Test and Control, Harbin Institute of Technology, No.2, YiKuang Street, NanGang D

会议类型: 国际会议

会议名称: 第五届仪器科学与技术国际学术会议(ISIST 2008)Fifth International Symposium on Instrmentation Science and Technology

会议地点: 沈阳

会议语种:英文

页码: 1-6

在线出版日期: 2008-09-15（万方平台首次上网日期，不代表论文的发表时间）