Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representations

This book treats the topic of extending the adaptive filtering theory in the context of massive multichannel systems by taking into account a priori knowledge of the underlying system or signal. The starting point is exploiting the sparseness in acoustic

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Karim Helwani

Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representations

T-Labs Series in Telecommunication Services Series editors Sebastian Möller, Berlin, Germany Axel Küpper, Berlin, Germany Alexander Raake, Berlin, Germany

More information about this series at http://www.springer.com/series/10013

Karim Helwani

Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representations

123

Karim Helwani Quality and Usability Lab Deutsche Telekom Laboratories Technical University of Berlin Berlin Germany

ISSN 2192-2810 ISBN 978-3-319-08953-9 DOI 10.1007/978-3-319-08954-6

ISSN 2192-2829 (electronic) ISBN 978-3-319-08954-6 (eBook)

Library of Congress Control Number: 2014943748 Springer Cham Heidelberg New York Dordrecht London Ó Springer International Publishing Switzerland 2015 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)

Acknowledgments

I would like to deeply thank my supervisor Prof. Sebastian Möller of the University of Technology in Berlin, Germany who with great patience has supported me throughout my research activities at the Telekom Innovation Laboratories. Dr. Herbert Buchner deserves my deepest gratitude for all the fruitful, spontaneous discussions we have had. I am very thankful to Prof. Sascha S