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- W1570768314 abstract "AbstractWe address in this paper the problem of blind separation of underdetermined mixtures of sparse sources. The sources are given a Student t distribution, in a transformed domain, and we propose a bayesian approach using Gibbs sampling. Results are given on synthetic and audio signals.KeywordsPosterior DistributionBayesian ApproachGibbs SamplerAudio SignalBlind Source SeparationThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
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- W1570768314 date "2004-01-01" @default.
- W1570768314 modified "2023-10-16" @default.
- W1570768314 title "Bayesian Approach for Blind Separation of Underdetermined Mixtures of Sparse Sources" @default.
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- W1570768314 doi "https://doi.org/10.1007/978-3-540-30110-3_51" @default.
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