Channel Coding: Theory, Algorithms, and Applications
Academic Press Library in Mobile and Wireless Communications
- 1st Edition - June 26, 2014
- Latest edition
- Editors: David Declercq, Marc Fossorier, Ezio Biglieri
- Language: English
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, an… Read more
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
PhD students, Post Docs, Undergraduates, R&D engineers in wireless and mobile communication, Consultants
- Preface
- Chapter 1. Turbo Codes: From First Principles to Recent Standards
- Abstract
- 1 Introduction
- 2 History of turbo codes
- 3 Fundamentals of turbo coding
- 4 Fundamentals of turbo decoding
- 5 Industrial impacts of turbo codes
- 6 Conclusion
- References
- Chapter 2. Turbo-Like Codes Constructions
- Abstract
- 1 Introduction and bibliography survey
- 2 Structure of concatenated codes
- 3 ML analysis and design of constituent codes
- 4 Iterative decoding
- 5 Interleaver designs
- 6 Performances
- References
- Chapter 3. Low-Density Parity-Check Code Constructions
- Abstract
- Acknowledgments
- 1 Introduction
- 2 LDPC codes and ensembles
- 3 Asymptotic analysis and optimization
- 4 Finite-length construction
- 5 LDPC codes in standards
- References
- Chapter 4. LDPC Decoders
- Abstract
- 1 Introduction
- 2 Notation and terminology
- 3 Binary LDPC decoders
- 4 Non-binary LDPC decoders
- Appendix
- References
- Chapter 5. Code Design with EXIT Charts
- Abstract
- 1 Introduction
- 2 Parallel concatenated codes
- 3 Serially concatenated codes
- 4 LDPC codes
- 5 Comments and generalizations
- 6 Summary
- References
- Chapter 6. Failures and Error Floors of Iterative Decoders
- Abstract
- Acknowledgments
- 1 Introduction
- 2 Preliminaries
- 3 Overview of decoding failures
- 4 Combinatorial characterization of decoding failures
- 5 Case study: Column-weight-three codes with the Gallager A/B algorithm on the BSC
- 6 Combating error floors
- 7 Connections to LP decoding
- 8 Conclusion
- References
- Chapter 7. Rate-Compatible LDPC and Turbo Codes for Link Adaptivity and Unequal Error Protection
- Abstract
- 1 Unequal error protection Turbo codes
- 2 Unequal error protection LDPC codes based on puncturing and pruning
- 3 Unequal error protection LDPC codes based on degree distribution optimization
- References
- Chapter 8. Rateless Coding
- Abstract
- 1 Introduction
- 2 The fountain paradigm
- 3 Rateless sparse-graph codes for the binary erasure channel: LT and Raptor codes
- 4 Extensions to noisy channels
- 5 Advanced sparse-graph based rateless coding schemes
- 6 Applications of rateless coding
- References
- Chapter 9. An Introduction to Distributed Channel Coding
- Abstract
- Acknowledgment
- 1 Introduction
- 2 The three-node relay channel
- 3 Distributed coding for the three-node relay channel
- 4 Relaying with uncertainty at the relay
- 5 Cooperation with multiple sources
- 6 Summary and conclusions
- References
- Chapter 10. Space-Time Block Codes
- Abstract
- 1 Introduction and preliminaries
- 2 STBCs with low ML decoding complexity
- 3 Full-rate full-diversity STBCs
- 4 Perfect space-time block codes
- 5 Diversity and multiplexing gain trade-off of space-time codes
- 6 Space-time codes for asymmetric MIMO systems
- 7 Distributed space-time codes
- 8 Conclusion
- References
- Chapter 11. Coded Modulation
- Abstract
- 1 Introduction
- 2 Preliminaries
- 3 Trellis coded modulation
- 4 Multilevel codes and multistage decoding
- 5 Bit-interleaved coded modulation
- References
- Chapter 12. Joint Source-Channel Coding and Decoding
- Abstract
- 1 Why joint source-channel coding/decoding
- 2 Joint source-channel decoding basics
- 3 Joint source-channel coding basics
- 4 Modified source encoders
- 5 Accounting for the presence of a network
- 6 Conclusion
- References
- Chapter 13. Hardware Design and Realization for Iteratively Decodable Codes
- Abstract
- 1 Introduction
- 2 Standard implementation
- 3 Low complexity decoder
- 4 High throughput architectures
- 5 Energy efficient architectures
- 6 Exotic designs
- 7 A survey of relevant implementations
- 8 Conclusion
- References
- Subject Index
- Edition: 1
- Latest edition
- Published: June 26, 2014
- Language: English
DD
David Declercq
David Declercq was born in June 1971. He graduated his PhD in Statistical Signal Processing 1998, from the University of Cergy-Pontoise, France.
He is currently full professor at the ENSEA in Cergy-Pontoise, and is the general secretary of the National GRETSI association, and Senior member of the IEEE. He is currently the recipient of junior position at the "Institut Universitaire de France".
His research topics lie in digital communications and error-correction coding theory. He worked several years on the particular family of LDPC codes, both from the code and decoder design aspects.Since 2003, he developed a strong expertise on non-binary LDPC codes and decoders in high order Galois fields GF(q). A large part of his research projects are related to non-binary LDPC codes. He mainly investigated two directions: the design of GF(q) LDPC codes for short and moderate lengths, and the simplification of the iterative decoders for GF(q) LDPC codes with complexity/performance tradeoff constraints.
David Declercq published more than 35 papers in major journals (IEEE-Trans. Commun., IEEE-Trans. Inf. Theo., Commun. Letters, EURASIP JWCN), and more than 100 papers in major conferences in Information Theory and Signal Processing.
Affiliations and expertise
ETIS ENSEA/univ. Cergy-Pontoise/CNRS UMR-8051MF
Marc Fossorier
Marc Fossorier's research interests include decoding techniques for linear codes, cryptography, communication algorithms and statistics. Dr. Fossorier became IEEE Fellow in 2006 and he served as Editor for the IEEE Transactions on Information Theory from 2003 to 2006, as Editor for the IEEE Transactions on Communications from 1996 to 2003, as Editor for the IEEE Communications Letters from 1999 to 2007, and as Treasurer of the IEEE Information Theory Society from 1999 to 2003.
From 2002 to 2007, he was an elected member of the Board of Governors of the IEEE Information Theory Society which he served as Second and First Vice-President. He was Program Co-Chairman for the 2007 International Symposium on Information Theory (ISIT), the 2000 International Symposium on
Information Theory and Its Applications (ISITA) and Editor for the Proceedings of the 2006, 2003 and 1999 Symposium on Applied Algebra, Algebraic Algorithms
and Error Correcting Codes (AAECC).
Affiliations and expertise
ETIS ENSEA/univ. Cergy-Pontoise/CNRS UMR-8051EB
Ezio Biglieri
Ezio Biglieri received his formal training in Electrical Engineering at Politecnico di Torino (Italy), where he received his Dr. Engr. degree in 1967. Before being an Honorary Professor at University Pompeu Fabra, he was a Professor at Università di Napoli (Italy), at Politecnico di Torino (Italy), and at UCLA (USA). He has held visiting positions with Bell Labs (USA), the École Nationale Supérieure des Télécommunications (Paris, France), the University of Sydney (Australia), the Yokohama National University (Japan), Princeton University (USA), the University of South Australia, the Munich Institute of Technology (Germany), the National University of Singapore, the National Taiwan University, the University of Cambridge (U.K.), ETH Zurich (Switzerland), and Monash University Melbourne (Australia). Among other honors, in 2000 he received the IEEE Third-Millennium Medal and the IEEE Donald G. Fink Prize Paper Award, in 2001 the IEEE Communications Society Edwin Howard Armstrong Achievement Award, in 2004, 2012, and 2015 the Journal of Communications and Networks Best Paper Award, in 2012 the IEEE Information Theory Society Aaron D. Wyner Distinguished Service Award, and in 2021 the IEEE Communications Society Heinrich Hertz Award. He is a Life Fellow of the IEEE.
Affiliations and expertise
Universitat Pompeu Fabra, Barcelona, Spain.Read Channel Coding: Theory, Algorithms, and Applications on ScienceDirect