Independent component analysis: source assessment and separation, a Bayesian approach
- 1 January 1998
- journal article
- Published by Institution of Engineering and Technology (IET) in IEE Proceedings - Vision, Image, and Signal Processing
- Vol. 145 (3) , 149-154
- https://doi.org/10.1049/ip-vis:19981928
Abstract
The author presents a method of independent component analysis which assesses the most probable number of source sequences from a larger number of observed sequences and estimates the unknown source sequences and mixing matrix. The estimation of the number of true sources is regarded as a model-order estimation problem and is tackled under a Bayesian paradigm. The method is shown to give good results on both synthetic and real data.Keywords
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