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| ==en construction==
| | #REDIRECTION [[analyse en composantes indépendantes]] |
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| == Définition==
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| [[DOUBLON]]
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| VOIR : '''[[analyse en composantes indépendantes]]'''
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| == Français ==
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| ''' XXXXXXXXX '''
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| == Anglais ==
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| ''' Independent component analysis'''
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| 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]
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| <small>
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| [https://en.wikipedia.org/wiki/Independent_component_analysis Source : Wikipedia Machine Learning ]
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| [[Catégorie:vocabulary]]
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| [[Catégorie:Wikipedia-IA]]
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