An improved method for independent component analysis with reference

Authors:
Changli Li;Guisheng Liao;Yuli Shen
Affiliations:
Key Laboratory for Radar Signal Processing, Xidian University, Xi'an 710071, China and School of Information Engineering, Guangdong Ocean University, Zhanjiang 524088, China;Key Laboratory for Radar Signal Processing, Xidian University, Xi'an 710071, China;School of Computer Science and Engineering, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
Venue:
Digital Signal Processing
Year:
2010

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Abstract

Through incorporating a priori information available in some applications for independent component analysis (ICA) as the reference into the negentropy contrast function for FastICA, ICA with reference (ICA-R) or constrained ICA (cICA) is obtained as a constrained optimization problem. ICA-R achieves some advantages over earlier methods, whereas its computation load is somewhat high and its performance is strongly dependent on the threshold parameter. By alternately optimizing the negentropy contrast function for FastICA and the closeness measure for ICA-R, an improved method for ICA-R is proposed in this paper which can avoid the inherent drawbacks of ICA-R. The validity of the proposed method is demonstrated by simulation experiments.