Independent component analysis
Independent component analysis
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What Wikipedia says
In signal processing, independent component analysis (ICA) is a computational method for separating a multivariate signal into additive subcomponents. This is done by assuming that at most one subcomponent is Gaussian and that the subcomponents are statistically independent from each other.
Excerpt from the Wikipedia article “Independent component analysis”, under the CC BY-SA 4.0 license. Read the article on Wikipedia
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