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000779743 019__ $$a974475413$$a981820780
000779743 020__ $$a9783319535470$$q(electronic book)
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000779743 0247_ $$a10.1007/978-3-319-53547-0$$2doi
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000779743 1112_ $$aLVA/ICA (Conference)$$n(13th :$$d2017 :$$cGrenoble, France)
000779743 24510 $$aLatent variable analysis and signal separation :$$b13th International Conference, LVA/ICA 2017, Grenoble, France, February 21-23, 2017, Proceedings /$$cPetr Tichavský, Massoud Babaie-Zadeh, Olivier J.J. Michel, Nadège Thirion-Moreau (eds.).
000779743 2463_ $$aLVA/ICA 2017
000779743 264_1 $$aCham, Switzerland :$$bSpringer,$$c2017.
000779743 300__ $$a1 online resource (xvi, 576 pages) :$$billustrations.
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000779743 4901_ $$aLecture notes in computer science,$$x0302-9743 ;$$v10169
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000779743 500__ $$aInternational conference proceedings.
000779743 500__ $$aIncludes author index.
000779743 506__ $$aAccess limited to authorized users.
000779743 520__ $$aThis book constitutes the proceedings of the 13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017, held in Grenoble, France, in Feburary 2017. The 53 papers presented in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections named: tensor approaches; from source positions to room properties: learning methods for audio scene geometry estimation; tensors and audio; audio signal processing; theoretical developments; physics and bio signal processing; latent variable analysis in observation sciences; ICA theory and applications; and sparsity-aware signal processing. .
000779743 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 27, 2017).
000779743 650_0 $$aSource separation (Signal processing)$$vCongresses.
000779743 7001_ $$aTichavský, Petr,$$eeditor.
000779743 7001_ $$aBabaie-Zadeh, Massoud,$$eeditor.
000779743 7001_ $$aMichel, Olivier J. J.$$eeditor.
000779743 7001_ $$aThirion-Moreau, Nadège,$$eeditor.
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000779743 830_0 $$aLecture notes in computer science ;$$v10169.
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