Entropy Coding
This chapter describes some of the basics of Entropy coding, and application examples in Python. It first treats the well-known Huffman coder, and then goes on to the Golomb–Rice coder, which can be more simply implemented. The latter is hence chosen for
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Filter Banks and Audio Coding Compressing Audio Signals Using Python
Filter Banks and Audio Coding
Gerald Schuller
Filter Banks and Audio Coding Compressing Audio Signals Using Python
Gerald Schuller Ilmenau University of Technology Ilmenau, Germany
ISBN 978-3-030-51248-4 ISBN 978-3-030-51249-1 (eBook) https://doi.org/10.1007/978-3-030-51249-1 © Springer Nature Switzerland AG 2020 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, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface This book has been developed from our lecture “Audio Coding”, together with Prof. Karlheinz Brandenburg, at Ilmenau University of Technology, Germany. Audio coding was started several decades ago with the goal to transmit music over the then much slower computer networks, the digital ISDN telephone network at 64 kb/s, and for the then-evolving digital radio and TV broadcasting standards, in the 1980s and 1990s. Some of the driving forces then were the group of K. Brandenburg at Fraunhofer IIS in Erlangen, Germany [1] and the group of J. Johnston at then AT&T Bell Labs, in Murray Hill, New Jersey, USA [2]. They collaborated, and the German side participated in the EU project called EUREKA 147 for the development of digital radio or audio broadcasting system [3]. A then-developing popular application was the storage of music on the much smaller computer hard drives, for which compression was essential to make it practical. This led to portable music devices, with even more constrained memory, the MP3 players. In the 2000s, smartphones evolved, combining wireless phones and MP3 players, most notably the iPhone in 2007, and the iTunes music library, which made it possible to buy and download music wirelessly, without the need to connect to a computer with
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