A Robust K-plane Clustering Algorithm for Blind Separation of Underdetermined Mixtures of Sparse Sources

摘要：

In this paper, a robust K-plane clustering algorithm has been proposed for blind separation of underdetermined mixtures of sparse sources. In the presence of noise, based on the insufficient sparsity assumption of the source signals, the K-dimensional concentration hyperplanes have been found by using the algorithm, and then using them to estimate the mixing matrix. Simulation results show that the proposed algorithm can provide a good performance for underdetermined blind sources separation when the sources are insufficiently sparse signals.

关键词： sparse signal underdetermined blind source separation (UBSS) K-plane clustering robust

作者: Fei Li Ye Zhang Jianhua Wu Zheng Luo

作者单位: Department of Electronic and Information Engineering, Nanchang University Nanchang 330031, China

会议类型: 国际会议

会议名称: 2010 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2010)(2010年检测技术与机电自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 331-334

在线出版日期: 2010-03-13（万方平台首次上网日期，不代表论文的发表时间）