Journal article
A fast algorithm for one-unit ICA-R
Information sciences, v 177(5), pp 1265-1275
2007
Abstract
Independent component analysis (ICA) aims to recover a set of unknown mutually independent source signals from their observed mixtures without knowledge of the mixing coefficients. In some applications, it is preferable to extract only one desired source signal instead of all source signals, and this can be achieved by a one-unit ICA technique. ICA with reference (ICA-R) is a one-unit ICA algorithm capable of extracting an expected signal by using prior information. However, a drawback of ICA-R is that it is computationally expensive. In this paper, a fast one-unit ICA-R algorithm is derived. The reduction of the computational complexity for the ICA-R algorithm is achieved through (1) pre-whitening the observed signals; and (2) normalizing the weight vector. Computer simulations were performed on synthesized signals, a speech signal, and electrocardiograms (ECG). Results of these analyses demonstrate the efficiency and accuracy of the proposed algorithm.
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Details
- Title
- A fast algorithm for one-unit ICA-R
- Creators
- Qiu-Hua Lin - Dalian University of TechnologyYong-Rui Zheng - Dalian University of TechnologyFu-Liang Yin - Dalian University of TechnologyHualou Liang - School of Health Information Sciences, University of Texas at Houston, Houston, TX 77030, USAVince D. Calhoun - University of New Mexico
- Publication Details
- Information sciences, v 177(5), pp 1265-1275
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000244060100009
- Scopus ID
- 2-s2.0-33845391465
- Other Identifier
- 991019320709704721
InCites Highlights
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Information Systems