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论文类型：期刊论文

发表时间：2009-01-01

发表刊物：JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

收录刊物：SCIE、EI

卷号：223

期号：1

页面范围：409-420

ISSN号：0377-0427

关键字：Independent component analysis; Semi-blind source extraction; Constrained optimization; Generalized autocorrelation; Fixed-point algorithm

摘要：Blind source extraction (BSE) has become one of the processing methods in the field of signal processing and analysis, which only desires to extract "interesting" source signals with specific stochastic property or features so as to save lots of computing time and resources. This paper addresses BSE problem, in which desired source signals have some available reference signals. Based oil this prior information, we develop an objective function for extraction of temporally correlated sources. Maximizing this objective function, a semi-blind source extraction fixed-point algorithm is proposed. Simulations on artificial electrocardiograph (ECG) signals and the real-world ECG data demonstrate the better performance of the new algorithm. Moreover, comparisons with existing algorithms further indicate the validity of our new algorithm, and also show its robustness to the estimated error of time delay. (c) 2008 Elsevier B.V All rights reserved.