000150453 001__ 150453
000150453 005__ 20190601125540.0
000150453 037__ $$aCONF
000150453 245__ $$aDouble Sparsity: Towards Blind Estimation of Multiple Channels
000150453 260__ $$bSpringer-Verlag's$$c2010
000150453 269__ $$a2010
000150453 336__ $$aConference Papers
000150453 490__ $$aLecture Notes in Computer Science
000150453 520__ $$aWe propose a framework for blind multiple filter estimation from convolutive mixtures, exploiting the time-domain sparsity of the mixing filters and the disjointness of the sources in the time-frequency domain. The proposed framework includes two steps: (a) a clustering step, to determine the frequencies where each source is active alone; (b) a filter estimation step, to recover the filter associated to each source from the corresponding incomplete frequency information. We show how to solve the filter estimation step (b) using convex programming, and we explore numerically the factors that drive its performance. Step (a) remains challenging, and we discuss possible strategies that will be studied in future work.
000150453 6531_ $$ablind filter estimation
000150453 6531_ $$asparsity
000150453 6531_ $$aconvex optimisation
000150453 6531_ $$aLTS2
000150453 700__ $$aSudhakar, Prasad
000150453 700__ $$0242928$$g196462$$aArberet, Simon
000150453 700__ $$aGribonval, Rémi
000150453 7112_ $$dSeptember 27-30, 2010$$cSt. Malo, France$$a9th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2010)
000150453 773__ $$tProceedings of the 9th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2010)
000150453 8564_ $$uhttps://infoscience.epfl.ch/record/150453/files/LVA_ICA10.pdf$$zn/a$$s597000$$yn/a
000150453 909C0 $$xU10380$$0252392$$pLTS2
000150453 909CO $$qGLOBAL_SET$$pconf$$ooai:infoscience.tind.io:150453$$pSTI
000150453 917Z8 $$x196462
000150453 917Z8 $$x196462
000150453 917Z8 $$x196462
000150453 917Z8 $$x196462
000150453 917Z8 $$x196462
000150453 917Z8 $$x196462
000150453 917Z8 $$x196462
000150453 917Z8 $$x196462
000150453 937__ $$aEPFL-CONF-150453
000150453 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000150453 980__ $$aCONF