Blind Signal Separation Algorithm Based on Bacterial Foraging Optimization

被引：0

作者：

Chen, Lei ^{[1
,2
]}

Zhang, Liyi ^{[1
,2
]}

Liu, Ting ^{[1
,2
]}

Li, Qiang ^{[1
]}

机构：

[1] Tianjin Univ, Sch Elect Informat Engn, Tianjin 300072, Peoples R China

[2] Tianjin Univ Commerce, Sch Informat Engn, Tianjin 300134, Peoples R China

来源：

2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL V | 2010年

基金：

中国国家自然科学基金;

关键词：

bacterial foraging optimization; blind signal separation; fourth-order cumulant; Givens transform; DISTRIBUTED OPTIMIZATION; BIOMIMICRY;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A novel blind signal separation algorithm based on bacterial foraging optimization was proposed. Fourth-order cumulant of signal was used as objective function for separation and Givens transform method was used for reducing the number of variables in objective function. The bacterial foraging optimization algorithm was used for optimizing the objective function transformed and source signal could be separated from mixed signal. Simulation results show that the separation algorithm based on bacterial foraging optimization can achieve the blind separation successfully and the separation precision is high.

引用

页码：227 / 230

页数：4

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