Independent Component Analysis (ICA) and Method of Estimating Functions(<特集>Special Section on the Trend of Digital Signal Processing and Its Future Direction)
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概要
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Independent component analysis (ICA) is a new method of extracting independent components from multi-variate data. It can be applied to various fields such as vision and auditory signal analysis, communication systems, and biomedical and brain engineering. There have been proposed a number of algorithms. The present article shows that most of them use estimating functions from the statistical point of view, and give a unified theory, based on information geometry, to elucidate the efficiency and stability of the algorithms. This gives new efficient adaptive algorithms useful for various problems.
- 社団法人電子情報通信学会の論文
- 2002-03-01
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