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
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.