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- W563174276 abstract "We consider the problem of estimating multiple filters from convolutive mixtures of several unknown sources. We propose to exploit both the time-frequency (TF) sparsity of the sources and the sparsity of the mixing filters. Our framework consists of: a) a clustering step to group the TF points where only one source is active, for each source; b) a convex optimisation step, to estimate the filters using TF cross-relations that capture linear constraints satisfied by the unknown filters. Experiments demonstrate that the approach is well suited for the estimation of sufficiently sparse filters." @default.
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- W563174276 date "2011-01-01" @default.
- W563174276 modified "2023-09-24" @default.
- W563174276 title "Estimating multiple filters from stereo mixtures: a double sparsity approach" @default.
- W563174276 hasPublicationYear "2011" @default.
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