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
收藏
页码：419 / 422
页数：4
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