Tichavský / Babaie-Zadeh / Michel Latent Variable Analysis and Signal Separation

13th International Conference, LVA/ICA 2017, Grenoble, France, February 21-23, 2017, Proceedings
1. Auflage 2017
ISBN: 978-3-319-53547-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 576 Seiten, eBook

Reihe: Theoretical Computer Science and General Issues

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.

Zielgruppe

Research

Autoren/Hrsg.

Tichavský, Petr

Babaie-Zadeh, Massoud

Michel, Olivier J.J.

Thirion-Moreau, Nadège