Constrained Independent Component Analysis Techniques

被引：0

作者：

Zhao, Yongjian ^{[1
]}

Jiang, Haining ^{[1
]}

Kong, Xiaoming ^{[1
]}

Qu, Meixia ^{[1
]}

机构：

[1] Shandong Univ Weihai, Inst Informat Engn, Weihai, Peoples R China

来源：

2014 IEEE WORKSHOP ON ELECTRONICS, COMPUTER AND APPLICATIONS | 2014年

关键词：

component; Matrix; Analysis; Source; Optimization; ICA;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Independent component analysis (ICA) is a promising statistical signal processing technique. To overcome the inherent drawbacks encountered in the conventional ICA method, a general framework of constrained ICA is introduced. The prior knowledge of reference is incorporated into a negentropy based objective function so as to construct a constrained ICA problem. Subsequently, a flexible constrained ICA algorithm is derived for extraction of one or a few desired source signals. The utility of the proposed algorithm is demonstrated by computer simulations on real ECG data.

引用

页码：419 / 422

页数：4

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