Blind signal separation algorithm based on temporal predictability and differential search algorithm

被引：6

作者：

Chen, Lei ^{[1
,2
]}

Zhang, Li-Yi ^{[1
]}

Guo, Yan-Ju ^{[3
]}

Huang, Yong ^{[1
]}

Liang, Jing-Yi ^{[1
]}

机构：

[1] School of Information Engineering, Tianjin University of Commerce

[2] School of Precision Instrument and Opto-Electronics Engineering, Tianjin University

[3] School of Information Engineering, Hebei University of Technology

来源：

Tongxin Xuebao/Journal on Communications | 2014年 / 35卷 / 06期

关键词：

Blind signal separation; Deflation; Differential search algorithm; Temporal predictability;

D O I：

10.3969/j.issn.1000-436x.2014.06.015

中图分类号：

学科分类号：

摘要：

A novel blind signal separation algorithm based on differential search was proposed for solving the high calculated amount problem in blind signal separation algorithm based on bio-inspired optimization. The temporal predictability of signal was used as the objective function and the differential search algorithm was used for solving it. The source signal component separated was wiped off using deflation method and all the source signals could be recovered successfully by repeating the separation process. Simulation results show that the algorithm can achieve blind separation from mixed signals efficiently with very high separation precision and very low computing time.

引用

页码：117 / 125

页数：8

共 22 条

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