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Titlebook: Latent Variable Analysis and Signal Separation; 13th International C Petr Tichavský,Massoud Babaie-Zadeh,Nadège Thirion Conference proceedi

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书目名称Latent Variable Analysis and Signal Separation
副标题13th International C
编辑Petr Tichavský,Massoud Babaie-Zadeh,Nadège Thirion
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Latent Variable Analysis and Signal Separation; 13th International C Petr Tichavský,Massoud Babaie-Zadeh,Nadège Thirion Conference proceedi
描述This 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. 
出版日期Conference proceedings 2017
关键词blind signal separation; dereverbation and denoising; independent component analysis; speech and audio
版次1
doihttps://doi.org/10.1007/978-3-319-53547-0
isbn_softcover978-3-319-53546-3
isbn_ebook978-3-319-53547-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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978-3-319-53546-3Springer International Publishing AG 2017
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Latent Variable Analysis and Signal Separation978-3-319-53547-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Petr Tichavský,Massoud Babaie-Zadeh,Nadège ThirionIncludes supplementary material:
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/l/image/581807.jpg
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Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernelsolterra kernels and tensor methods is a fruitful way to tackle the parallel Wiener-Hammerstein system identification task. In simulation experiments, we were able to reconstruct very accurately the underlying blocks under noisy conditions.
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Gabriel Hollander,Philippe Dreesen,Mariya Ishteva,Johan Schoukense fundamental problem is either resolved to the satisfaction of the majority of researchers in the area of investigation, or else-and much more commonly-one or 978-94-010-7592-3978-94-009-2423-9Series ISSN 0166-6991 Series E-ISSN 2542-8292
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