标题:Constrained independent component analysis techniques
作者:Zhao, Yongjian ;Kong, Xiaoming ;Jiang, Haining ;Qu, Meixia
作者机构:[Zhao, Yongjian ;Kong, Xiaoming ;Jiang, Haining ;Qu, Meixia ] Information Engineering Institute, Shandong University (Weihai), Weihai, China
会议名称:2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014
会议日期:May 8, 2014 - May 9, 2014
来源:Proceedings - 2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014
出版年:2014
页码:419-422
DOI:10.1109/IWECA.2014.6845646
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. © 2014 IEEE.
收录类别:EI
资源类型:会议论文
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