Une extension avec variables latentes du modèle d'analyse en composantes indépendantes

Abstract : This paper deals with the problem of blind source separation of instantaneous linear mixtures. The Independent Component Analysis (ICA) model is extended to a new model where the sources can be dependent. Depending on the value of a latent process, the unknown sources are assumed either mutually independent or dependent. We propose a separation method which combines: (i) a classical ICA separation performed using the set of samples whose components are conditionally independent, and (ii) a method for estimation of the latent process using the Iterative Conditional Estimation (ICE) method. Simulations confirm the great generality of our model and show that our method takes into account a partial dependence between the sources.
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Selwa Rafi, Marc Castella, Wojciech Pieczynski. Une extension avec variables latentes du modèle d'analyse en composantes indépendantes. GRETSI 2011 : XXIIIe Colloque, Sep 2011, Bordeaux, France. pp.1 - 4. ⟨hal-01465735⟩

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