« Independent component analysis » : différence entre les versions

Dernière version du 28 avril 2023 à 13:31

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-==en construction==
+#REDIRECTION [[analyse en composantes indépendantes]]
-== Définition ==
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-== Français ==
-''' XXXXXXXXX '''
-== Anglais ==
-''' Independent component analysis'''
-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 the subcomponents are non-Gaussian signals and that they are statistically independent from each other. ICA is a special case of blind source separation. A common example application is the "cocktail party problem" of listening in on one person's speech in a noisy room.[1]
-<small>
-[https://en.wikipedia.org/wiki/Independent_component_analysis  Source : Wikipedia  Machine Learning ]
-[[Catégorie:vocabulary]]
-[[Catégorie:Wikipedia-IA‎]]