Independent component analysis (ICA) is becoming an increasingly important tool for analyzing large data sets. In essence, ICA separates an observed set of signal mixtures into a set of statistically independent component signals, or source signals. In so doing, this powerful method can extract the relatively small amount of useful information typically found in large data sets. The applications for ICA range from speech processing, brain imaging, and electrical brain signals to.
Independent Component Analysis: A Tutorial Introduction (Bradford Books) read online
Independent Component Analysis: A Tutorial Introduction (Bradford Books) pdf
Independent Component Analysis: A Tutorial Introduction (Bradford Books) pdf free download
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