Blind Signal Separation Algorithm Based on Quasi-Newton

JIAN Ke; LIU Hai-lin

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Blind Signal Separation Algorithm Based on Quasi-Newton

更新时间：2026-05-27

- Blind Signal Separation Algorithm Based on Quasi-Newton
- Vol. 24, Issue 2, Pages: 103-106(2007)
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- Online First：02 July 2007，
  
  Published：2007
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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]. 2007, 24(2): 103-106.
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. DOI：

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

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.

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.

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