Joint Source-Channel Decoding

Joint Source-Channel Decoding

Author: Pierre Duhamel

Publisher: Academic Press

Published: 2009-11-26

Total Pages: 337

ISBN-13: 0080922449

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Treats joint source and channel decoding in an integrated way Gives a clear description of the problems in the field together with the mathematical tools for their solution Contains many detailed examples useful for practical applications of the theory to video broadcasting over mobile and wireless networks Traditionally, cross-layer and joint source-channel coding were seen as incompatible with classically structured networks but recent advances in theory changed this situation. Joint source-channel decoding is now seen as a viable alternative to separate decoding of source and channel codes, if the protocol layers are taken into account. A joint source/protocol/channel approach is thus addressed in this book: all levels of the protocol stack are considered, showing how the information in each layer influences the others. This book provides the tools to show how cross-layer and joint source-channel coding and decoding are now compatible with present-day mobile and wireless networks, with a particular application to the key area of video transmission to mobiles. Typical applications are broadcasting, or point-to-point delivery of multimedia contents, which are very timely in the context of the current development of mobile services such as audio (MPEG4 AAC) or video (H263, H264) transmission using recent wireless transmission standards (DVH-H, DVB-SH, WiMAX, LTE). This cross-disciplinary book is ideal for graduate students, researchers, and more generally professionals working either in signal processing for communications or in networking applications, interested in reliable multimedia transmission. This book is also of interest to people involved in cross-layer optimization of mobile networks. Its content may provide them with other points of view on their optimization problem, enlarging the set of tools which they could use. Pierre Duhamel is director of research at CNRS/ LSS and has previously held research positions at Thomson-CSF, CNET, and ENST, where he was head of the Signal and Image Processing Department. He has served as chairman of the DSP committee and associate Editor of the IEEE Transactions on Signal Processing and Signal Processing Letters, as well as acting as a co-chair at MMSP and ICASSP conferences. He was awarded the Grand Prix France Telecom by the French Science Academy in 2000. He is co-author of more than 80 papers in international journals, 250 conference proceedings, and 28 patents. Michel Kieffer is an assistant professor in signal processing for communications at the Université Paris-Sud and a researcher at the Laboratoire des Signaux et Systèmes, Gif-sur-Yvette, France. His research interests are in joint source-channel coding and decoding techniques for the reliable transmission of multimedia contents. He serves as associate editor of Signal Processing (Elsevier). He is co-author of more than 90 contributions to journals, conference proceedings, and book chapters. Treats joint source and channel decoding in an integrated way Gives a clear description of the problems in the field together with the mathematical tools for their solution Contains many detailed examples useful for practical applications of the theory to video broadcasting over mobile and wireless networks


Joint Source-Channel Coding

Joint Source-Channel Coding

Author: Andres Kwasinski

Publisher: John Wiley & Sons

Published: 2022-11-08

Total Pages: 404

ISBN-13: 1118693795

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Joint Source-Channel Coding Consolidating knowledge on Joint Source-Channel Coding (JSCC), this book provides an indispensable resource on a key area of performance enhancement for communications networks Presenting in one volume the key theories, concepts and important developments in the area of Joint Source-Channel Coding (JSCC), this book provides the fundamental material needed to enhance the performance of digital and wireless communication systems and networks. It comprehensively introduces JSCC technologies for communications systems, including coding and decoding algorithms, and emerging applications of JSCC in current wireless communications. The book covers the full range of theoretical and technical areas before concluding with a section considering recent applications and emerging designs for JSCC. A methodical reference for academic and industrial researchers, development engineers, system engineers, system architects and software engineers, this book: Explains how JSCC leads to high performance in communication systems and networks Consolidates key material from multiple disparate sources Is an ideal reference for graduate-level courses on digital or wireless communications, as well as courses on information theory Targets professionals involved with digital and wireless communications and networking systems


Source and Channel Coding

Source and Channel Coding

Author: John B. Anderson

Publisher: Springer Science & Business Media

Published: 1991-09-30

Total Pages: 452

ISBN-13: 9780792392101

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oW should coded communication be approached? Is it about prob H ability theorems and bounds, or about algorithms and structures? The traditional course in information theory and coding teaches these together in one course in which the Shannon theory, a probabilistic the ory of information, dominates. The theory's predictions and bounds to performance are valuable to the coding engineer, but coding today is mostly about structures and algorithms and their size, speed and error performance. While coding has a theoretical basis, it has a practical side as well, an engineering side in which costs and benefits matter. It is safe to say that most of the recent advances in information theory and coding are in the engineering of coding. These thoughts motivate the present text book: A coded communication book based on methods and algorithms, with information theory in a necessary but supporting role. There has been muchrecent progress in coding, both inthe theory and the practice, and these pages report many new advances. Chapter 2 cov ers traditional source coding, but also the coding ofreal one-dimensional sources like speech and new techniques like vector quantization. Chapter 4 is a unified treatment of trellis codes, beginning with binary convolu tional codes and passing to the new trellis modulation codes.


A Joint Source Channel Coding Approach to Delivery of Digital Images Over CDMA 800 MGHz Indoor Wireless Rayleigh Fading Channels

A Joint Source Channel Coding Approach to Delivery of Digital Images Over CDMA 800 MGHz Indoor Wireless Rayleigh Fading Channels

Author: Jacobo Murillo Zolezzi

Publisher:

Published: 2004

Total Pages: 69

ISBN-13:

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The following thesis developed in the área of Electrical Engineering and Telecom-munications is aimed at improving current CDMA wireless network capabilities specif-ically targeting the transmission of JPEG compressed data with the possibility of a continued investigation in the transmission of MPEG video format. The aim or objec-tive is to genérate a solution to current transmission problems faced in 3rd generation CDMA networks where band limited transmission limits the capabilities of the network in delivering large data files such as image or video adequately. The rising importance in expanding network capabilities for CDMA networks, in this case for image transmission, is evident because of several factors including the following: One of these factors is the increasing popularity of CDMA since its creation in 1995. In the cellular branch alone, there are over an estimates 106 million users utilizing a CDMA based network. This rapid increase is due to the fact that CDMA is able to support múltiple users on one frequency channel, as will be discussed later. Secondly and more importantly, the growing demand for image and video trans- J mission generated by increasing multimedia usage has created the recent need to * transmit video data over this and other types of wireless networks. In particular, the following thesis is thus aimed at improving the JPEG image compression algorithm for an SOOMHz CDMA Cellular wireless network. In order to increase the efficiency of current image transmission over CDMA networks this thesis proposes jointly designing the source and channel code to genérate an enhanced image compression algorithm. In order to accomplish this we will utilize a Rayleigh Fading Model to simúlate the channel over which we will be transmitting and then include this information into the compression algorithm; our goal being to manipúlate the image compression algorithm to improve image transmission over a specific channel and médium (i.e. An SOOMHz wireless network). Furthermore, given that our expected results are met, we can also review the efficiency (bit compression) of our algorithm for transmission and henee review new possibilities for increased error correction in the transmission of image and video data. In addition, as mentioned before, an ongoing investigation in this área using the ideas presented in this paper applied to the MPEG compression algorithm could lead to an enhanced algorithm for video transmission over the same médium.


Channel Coding: Theory, Algorithms, and Applications

Channel Coding: Theory, Algorithms, and Applications

Author:

Publisher: Academic Press

Published: 2014-07-29

Total Pages: 687

ISBN-13: 012397223X

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This book gives a review of the principles, methods and techniques of important and emerging research topics and technologies in Channel Coding, including theory, algorithms, and applications. Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic. With this reference source you will: Quickly grasp a new area of research Understand the underlying principles of a topic and its applications Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved Quick tutorial reviews of important and emerging topics of research in Channel Coding Presents core principles in Channel Coding theory and shows their applications Reference content on core principles, technologies, algorithms and applications Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge


Distributed Source Coding

Distributed Source Coding

Author: Shuang Wang

Publisher: John Wiley & Sons

Published: 2017-01-05

Total Pages: 384

ISBN-13: 1118705971

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Distributed source coding is one of the key enablers for efficient cooperative communication. The potential applications range from wireless sensor networks, ad-hoc networks, and surveillance networks, to robust low-complexity video coding, stereo/Multiview video coding, HDTV, hyper-spectral and multispectral imaging, and biometrics. The book is divided into three sections: theory, algorithms, and applications. Part one covers the background of information theory with an emphasis on DSC; part two discusses designs of algorithmic solutions for DSC problems, covering the three most important DSC problems: Slepian-Wolf, Wyner-Ziv, and MT source coding; and part three is dedicated to a variety of potential DSC applications. Key features: Clear explanation of distributed source coding theory and algorithms including both lossless and lossy designs. Rich applications of distributed source coding, which covers multimedia communication and data security applications. Self-contained content for beginners from basic information theory to practical code implementation. The book provides fundamental knowledge for engineers and computer scientists to access the topic of distributed source coding. It is also suitable for senior undergraduate and first year graduate students in electrical engineering; computer engineering; signal processing; image/video processing; and information theory and communications.


Multimedia Systems, Standards, and Networks

Multimedia Systems, Standards, and Networks

Author: Atul Puri

Publisher: CRC Press

Published: 2000-03-22

Total Pages: 662

ISBN-13: 9780203908440

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Describes ITU H H.323 and H.324, H.263, ITU-T video, and MPEG-4 standards, systems, and coding; IP and ATM networks; multimedia search and retrieval; image retrieval in digital laboratories; and the status and direction of MPEG-7.


Channel Coding Techniques for Wireless Communications

Channel Coding Techniques for Wireless Communications

Author: K. Deergha Rao

Publisher: Springer

Published: 2015-03-26

Total Pages: 407

ISBN-13: 813222292X

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The book discusses modern channel coding techniques for wireless communications such as turbo codes, low parity check codes (LDPC), space-time coding, Reed Solomon (RS) codes and convolutional codes. Many illustrative examples are included in each chapter for easy understanding of the coding techniques. The text is integrated with MATLAB-based programs to enhance the understanding of the subject’s underlying theories. It includes current topics of increasing importance such as turbo codes, LDPC codes, LT codes, Raptor codes and space-time coding in detail, in addition to the traditional codes such as cyclic codes, BCH and RS codes and convolutional codes. MIMO communications is a multiple antenna technology, which is an effective method for high-speed or high-reliability wireless communications. PC-based MATLAB m-files for the illustrative examples are included and also provided on the accompanying CD, which will help students and researchers involved in advanced and current concepts in coding theory. Channel coding, the core of digital communication and data storage, has undergone a major revolution as a result of the rapid growth of mobile and wireless communications. The book is divided into 11 chapters. Assuming no prior knowledge in the field of channel coding, the opening chapters (1 - 2) begin with basic theory and discuss how to improve the performance of wireless communication channels using channel coding. Chapters 3 and 4 introduce Galois fields and present detailed coverage of BCH codes and Reed-Solomon codes. Chapters 5–7 introduce the family of convolutional codes, hard and soft-decision Viterbi algorithms, turbo codes, BCJR algorithm for turbo decoding and studies trellis coded modulation (TCM), turbo trellis coded modulation (TTCM), bit-interleaved coded modulation (BICM) as well as iterative BICM (BICM-ID) and compares them under various channel conditions. Chapters 8 and 9 focus on low-density parity-check (LDPC) codes, LT codes and Raptor codes. Chapters 10 and 11 discuss MIMO systems and space-time (ST) coding.