Iterative Joint Source Channel Coding Using Arithmetic Codes
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Joint Source Channel Coding Using Arithmetic Codes
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Author : Bi Dongsheng
language : en
Publisher: Springer Nature
Release Date : 2022-06-01
Joint Source Channel Coding Using Arithmetic Codes written by Bi Dongsheng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Technology & Engineering categories.
Based on the encoding process, arithmetic codes can be viewed as tree codes and current proposals for decoding arithmetic codes with forbidden symbols belong to sequential decoding algorithms and their variants. In this monograph, we propose a new way of looking at arithmetic codes with forbidden symbols. If a limit is imposed on the maximum value of a key parameter in the encoder, this modified arithmetic encoder can also be modeled as a finite state machine and the code generated can be treated as a variable-length trellis code. The number of states used can be reduced and techniques used for decoding convolutional codes, such as the list Viterbi decoding algorithm, can be applied directly on the trellis. The finite state machine interpretation can be easily migrated to Markov source case. We can encode Markov sources without considering the conditional probabilities, while using the list Viterbi decoding algorithm which utilizes the conditional probabilities. We can also use context-based arithmetic coding to exploit the conditional probabilities of the Markov source and apply a finite state machine interpretation to this problem. The finite state machine interpretation also allows us to more systematically understand arithmetic codes with forbidden symbols. It allows us to find the partial distance spectrum of arithmetic codes with forbidden symbols. We also propose arithmetic codes with memories which use high memory but low implementation precision arithmetic codes. The low implementation precision results in a state machine with less complexity. The introduced input memories allow us to switch the probability functions used for arithmetic coding. Combining these two methods give us a huge parameter space of the arithmetic codes with forbidden symbols. Hence we can choose codes with better distance properties while maintaining the encoding efficiency and decoding complexity. A construction and search method is proposed and simulation results show that we can achieve a similar performance as turbo codes when we apply this approach to rate 2/3 arithmetic codes. Table of Contents: Introduction / Arithmetic Codes / Arithmetic Codes with Forbidden Symbols / Distance Property and Code Construction / Conclusion
Iterative Joint Source Channel Coding Using Arithmetic Codes
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Author : Lifeng Xu
language : en
Publisher:
Release Date : 2004
Iterative Joint Source Channel Coding Using Arithmetic Codes written by Lifeng Xu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.
Joint Source Channel Coding Using Arithmetic Codes
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Author : Bi Dongsheng
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2009-11-08
Joint Source Channel Coding Using Arithmetic Codes written by Bi Dongsheng and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-08 with Technology & Engineering categories.
Based on the encoding process, arithmetic codes can be viewed as tree codes and current proposals for decoding arithmetic codes with forbidden symbols belong to sequential decoding algorithms and their variants. In this monograph, we propose a new way of looking at arithmetic codes with forbidden symbols. If a limit is imposed on the maximum value of a key parameter in the encoder, this modified arithmetic encoder can also be modeled as a finite state machine and the code generated can be treated as a variable-length trellis code. The number of states used can be reduced and techniques used for decoding convolutional codes, such as the list Viterbi decoding algorithm, can be applied directly on the trellis. The finite state machine interpretation can be easily migrated to Markov source case. We can encode Markov sources without considering the conditional probabilities, while using the list Viterbi decoding algorithm which utilizes the conditional probabilities. We can also use context-based arithmetic coding to exploit the conditional probabilities of the Markov source and apply a finite state machine interpretation to this problem. The finite state machine interpretation also allows us to more systematically understand arithmetic codes with forbidden symbols. It allows us to find the partial distance spectrum of arithmetic codes with forbidden symbols. We also propose arithmetic codes with memories which use high memory but low implementation precision arithmetic codes. The low implementation precision results in a state machine with less complexity. The introduced input memories allow us to switch the probability functions used for arithmetic coding. Combining these two methods give us a huge parameter space of the arithmetic codes with forbidden symbols. Hence we can choose codes with better distance properties while maintaining the encoding efficiency and decoding complexity. A construction and search method is proposed and simulation results show that we can achieve a similar performance as turbo codes when we apply this approach to rate 2/3 arithmetic codes. Table of Contents: Introduction / Arithmetic Codes / Arithmetic Codes with Forbidden Symbols / Distance Property and Code Construction / Conclusion
Channel Coding Theory Algorithms And Applications
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Author :
language : en
Publisher: Academic Press
Release Date : 2014-07-29
Channel Coding Theory Algorithms And Applications written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-29 with Technology & Engineering categories.
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
Joint Source Channel Decoding
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Author : Pierre Duhamel
language : en
Publisher: Academic Press
Release Date : 2009-11-26
Joint Source Channel Decoding written by Pierre Duhamel and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-26 with Technology & Engineering categories.
- 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
Near Capacity Variable Length Coding
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Author : Lajos Hanzo
language : en
Publisher: John Wiley & Sons
Release Date : 2011-06-15
Near Capacity Variable Length Coding written by Lajos Hanzo and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-15 with Technology & Engineering categories.
Recent developments such as the invention of powerful turbo-decoding and irregular designs, together with the increase in the number of potential applications to multimedia signal compression, have increased the importance of variable length coding (VLC). Providing insights into the very latest research, the authors examine the design of diverse near-capacity VLC codes in the context of wireless telecommunications. The book commences with an introduction to Information Theory, followed by a discussion of Regular as well as Irregular Variable Length Coding and their applications in joint source and channel coding. Near-capacity designs are created using Extrinsic Information Transfer (EXIT) chart analysis. The latest techniques are discussed, outlining radical concepts such as Genetic Algorithm (GA) aided construction of diverse VLC codes. The book concludes with two chapters on VLC-based space-time transceivers as well as on frequency-hopping assisted schemes, followed by suggestions for future work on the topic. Surveys the historic evolution and development of VLCs Discusses the very latest research into VLC codes Introduces the novel concept of Irregular VLCs and their application in joint-source and channel coding
Intelligent Computer Vision And Image Processing Innovation Application And Design
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Author : Sarfraz, Muhammad
language : en
Publisher: IGI Global
Release Date : 2013-04-30
Intelligent Computer Vision And Image Processing Innovation Application And Design written by Sarfraz, Muhammad and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-30 with Computers categories.
Innovations in computer vision technology continue to advance the applications and design of image processing and its influence on multimedia applications. Intelligent Computer Vision and Image Processing: Innovation, Application, and Design provides methods and research on various disciplines related to the science and technology of machines. This reference source is essential for academicians, researchers, and practitioners interested in the latest developments and innovations in computer science, education, and security.
Signal Processing For Image Enhancement And Multimedia Processing
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Author : Ernesto Damiani
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-12-03
Signal Processing For Image Enhancement And Multimedia Processing written by Ernesto Damiani and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-03 with Technology & Engineering categories.
Traditionally,signalprocessingtechniqueslayatthefoundationofmultimedia data processing and analysis. In the past few years, a new wave of advanced signal-processing techniques has delivered exciting results, increasing systems capabilities of e?ciently exchanging image data and extracting useful kno- edge from them. Signal Processing for Image Enhancement and Multimedia Processing is an edited volume, written by well-recognized international - searchers with extended chapter style versions of the best papers presented at the SITIS 2006 International Conference. This book presents the state-of-the-art and recent research results on the application of advanced signal processing techniques for improving the value of image and video data. It also discusses feature-based techniques for deep, feature-oriented analysis of images and new results on video coding on ti- honored topic of securing image information. Signal Processing for Image - hancement and Multimedia Processing is designed for a professional audience composedofpractitionersandresearchersinindustry.Thisvolumeisalsosu- able as a reference or secondary text for advanced-level students in computer science and engineering. The chapters included in this book are a selection of papers presented at the Signal and Image Technologies track of the international SITIS 2006 c- ference. The authors were asked to revise and extend their contributions to take into account the many challenges and remarks discussed at the conf- ence. A large number of high quality papers were submitted to SITIS 2006, demonstrating the growing interest of the research community for image and multimedia processing.
Recent Advances In Image And Video Coding
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Author : Sudhakar Radhakrishnan
language : en
Publisher: BoD – Books on Demand
Release Date : 2016-11-23
Recent Advances In Image And Video Coding written by Sudhakar Radhakrishnan and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-23 with Computers categories.
This book is intended to attract the attention of practitioners and researchers in academia and industry interested in challenging paradigms of image and video coding algorithms with an emphasis on recent technological developments. All the chapters are well demonstrated by various researchers around the world covering the field of image and video processing. This book highlights the current research in the image and video processing area such as image fusion, image segmentation and classification, image compression, machine vision algorithms and video compression. The entire work available in the book is mainly focusing on researchers who can do quality research in the area of image and video processing and related fields. Each chapter is an independent research which will definitely motivate the young researchers to ponder into. These eleven chapters available in five sections will be an eye-opener for all who are doing systematic research in these fields.
E Business And Telecommunications
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Author : Mohammad S. Obaidat
language : en
Publisher: Springer
Release Date : 2012-02-21
E Business And Telecommunications written by Mohammad S. Obaidat and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-21 with Computers categories.
This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Joint Conference on e-Business and Telecommunications, ICETE 2010, held in Athens, Greece, in July 2010. The 28 revised full papers presented together with 1 invited paper in this volume were carefully reviewed and selected from 422 initial submissions. They have passed two rounds of selection and improvement. According to the topics of the particular conference the papers are organized in thematical parts on data communication networking (DCNET), e-business (ICE-B), optical communication systems (OPTICS), security and cryptography (SECRYPT), signal processing and multimedia applications (SIGMAP), wireless information networks and systems (WINSYS).