Time-Shifting-Based Primary Ambient Extraction
One of the key issues in spatial audio analysis and reproduction is to decompose a signal into primary and ambient components based on their directional and diffuse spatial features, respectively. Existing approaches employed in primary ambient extraction
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JianJun He
Spatial Audio Reproduction with Primary Ambient Extraction 123
SpringerBriefs in Electrical and Computer Engineering Signal Processing
Series editors Woon-Seng Gan, Singapore, Singapore C.-C. Jay Kuo, Los Angeles, USA Thomas Fang Zheng, Beijing, China Mauro Barni, Siena, Italy
More information about this series at http://www.springer.com/series/11560
JianJun He
Spatial Audio Reproduction with Primary Ambient Extraction
123
JianJun He School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore
ISSN 2191-8112 ISSN 2191-8120 (electronic) SpringerBriefs in Electrical and Computer Engineering ISSN 2196-4076 ISSN 2196-4084 (electronic) SpringerBriefs in Signal Processing ISBN 978-981-10-1550-2 ISBN 978-981-10-1551-9 (eBook) DOI 10.1007/978-981-10-1551-9 Library of Congress Control Number: 2016943866 © The Author(s) 2017 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. 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. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer Science+Business Media Singapore Pte Ltd.
Acknowledgements
First and foremost, I would like to thank my Ph.D. supervisor and Associate Professor Gan Woon-Seng, for his continued support and invaluable guidance throughout the course of this work. My sincere thanks also go to Dr. Joseph Tan Ee Leng, for his guidance, ideas, and discussions in this work. I would also like to thank my colleagues and friends Dr. Sam Shi Chuang, Dr. Mu Hao, Dr. Kaushik Sunder, Dr. Rishabh Ranjan, Mr. Lam Bhan, Ms. Santi Peksi, and Mr. Nguyen Duy Hai for their support and comments on my work. Last but not least, I would like to express my gratitude to my Dad and Mum, my wife Li Ya, and her parents, for their unconditional love and consistent support.
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Contents
1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1 Organization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . References . .
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