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Latent variable analysis and signal separation = 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015 : proceedings /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Latent variable analysis and signal separation/ edited by Emmanuel Vincent ... [et al.].
其他題名:	12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015 : proceedings /
其他題名:	LVA/ICA 2015
其他作者:	Vincent, Emmanuel.
團體作者:	Workshop on the Preservation of Stability under Discretization
出版者:	Cham :Springer International Publishing : : 2015.,
面頁冊數:	xvi, 532 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Source separation (Signal processing) -
電子資源:	http://dx.doi.org/10.1007/978-3-319-22482-4
ISBN:	9783319224824

Latent variable analysis and signal separation = 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015 : proceedings /
Latent variable analysis and signal separation12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015 : proceedings /[electronic resource] :LVA/ICA 2015edited by Emmanuel Vincent ... [et al.]. - Cham :Springer International Publishing :2015. - xvi, 532 p. :ill., digital ;24 cm. - Lecture notes in computer science,92370302-9743 ;. - Lecture notes in computer science ;6140..

Tensor-based methods for blind signal separation -- Deep neural networks for supervised speech separation/enhancment -- Joined analysis of multiple datasets, data fusion, and related topics -- Advances in nonlinear blind source separation -- Sparse and low rank modeling for acoustic signal processing.

This book constitutes the proceedings of the 12th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICS 2015, held in Liberec, Czech Republic, in August 2015. The 61 revised full papers presented - 29 accepted as oral presentations and 32 accepted as poster presentations - were carefully reviewed and selected from numerous submissions. Five special topics are addressed: tensor-based methods for blind signal separation; deep neural networks for supervised speech separation/enhancement; joined analysis of multiple datasets, data fusion, and related topics; advances in nonlinear blind source separation; sparse and low rank modeling for acoustic signal processing.

ISBN: 9783319224824

Standard No.: 10.1007/978-3-319-22482-4doiSubjects--Topical Terms:

796949
Source separation (Signal processing)

LC Class. No.: TK5102.9

Dewey Class. No.: 621.3822

Latent variable analysis and signal separation = 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015 : proceedings /
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