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BLISS Résumé de rapport

Project ID: IST-1999-14190
Financé au titre de: FP5-IST
Pays: France

Algorithm and software for separation of Markovian sources

We develop a method taking into account the Markovian property of sources, which is more general, that coloration assumption, and is simply defined by joint probability density function (pdf) of successive samples of the sources. The method shows that performance in separation quality is enhanced using this prior, for separation in linear as well as non linear mixtures. The counterpart is an increase of the computation complexity, due to estimation of multivariate pdf estimations.


Christian JUTTEN
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