局部充分稀疏的欠定时盲信号源分离

广东工业大学学报 ›› 2008, Vol. 25 ›› Issue (4): 61-64.

局部充分稀疏的欠定时盲信号源分离

广东工业大学应用数学学院；江西理工大学信息工程学院；

出版日期:2008-03-01 发布日期:2008-03-01

Underdetermined Blind Source Separation Based on Locally Sparse Representations

1.Faculty of Applied Mathematics,Guangdong University of Technology,Guangzhou 510006,China;2.Faculty of Information Engineering,JiangXi University of Science and Technology,Ganzhou 341000

Online:2008-03-01 Published:2008-03-01

摘要/Abstract

摘要： 针对欠定时的盲信号分离,提出了局部充分稀疏条件下估计混叠矩阵A的新算法.该算法不要求源信号所有采样时刻都充分稀疏,先通过搜索,把处于同一直线的向量一一归类,再对所得的类的向量进行处理,把混叠矩阵A确定出来.仿真实验结果表明算法是有效的.

关键词: 盲信号分离；稀疏分量分析；充分稀疏；欠定；

Abstract: It proposes a new algorithm of locally sparse blind source separation for estimating the mixed matrix A.This method doesn’t require all the samples of the sources are strictly sparse.Firstly all the vectors in the same line were searched for and classified.And then the mixed matrix A determined.The simulation illustrates the effectiveness of this algorithrn.

Key words: blind seurce separation； sparse； strictly sparse； underdetermined；

何春兰；万哲； . 局部充分稀疏的欠定时盲信号源分离[J]. 广东工业大学学报, 2008, 25(4): 61-64.

He Chun-lan1,Wan Zhe2 . Underdetermined Blind Source Separation Based on Locally Sparse Representations[J]. Journal of Guangdong University of Technology, 2008, 25(4): 61-64.

参考文献

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