基于拟牛顿法的盲信号分离算法

广东工业大学学报 ›› 2007, Vol. 24 ›› Issue (2): 103-106.

基于拟牛顿法的盲信号分离算法

广东工业大学应用数学学院；广东工业大学应用数学学院广东广州510006；广东广州510006；

出版日期:2007-07-02 发布日期:2007-07-02

Blind Signal Separation Algorithm Based on Quasi-Newton

(Faculty of Applied Mathematics,Guangdong University of Technology,Guangzhou 510006,China)

Online:2007-07-02 Published:2007-07-02

摘要/Abstract

摘要： 以相关矩阵的联合对角化作为代价函数,基于拟牛顿法中的DFP法提出了一种新的盲信号分离算法,使算法的运行速度和分离效果得到了提高.仿真结果验证了算法的有效性.

关键词: 盲信号分离；拟牛顿；联合对角化；

Abstract: This paper proposes a new blind signal separation algorithm which uses joint diagonalization of correlation matrices as the cost function,and separates source signal based on quasi-Newton’s DFP method.The algorithm improves the convergence rate.Validity and performance of the proposed algorithm are demonstrated by extensive computer simulations.

Key words: blind signal separation； quasi-Newton method； joint diagonalization；

蹇柯；刘海林； . 基于拟牛顿法的盲信号分离算法[J]. 广东工业大学学报, 2007, 24(2): 103-106.

JIAN Ke,LIU Hai-lin. Blind Signal Separation Algorithm Based on Quasi-Newton[J]. Journal of Guangdong University of Technology, 2007, 24(2): 103-106.

参考文献

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[5] Belouchrani A,Meraim K A,Cardoso J F,et al.A blindsource separation technique using second-order statistics. IEEE Transactions on Signal Processing . 1997

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