Near-Capacity Variable-Length Coding

Lajos Hanzo University of Southampton, UKLajos Hanzo has held various research and academic posts in Hungary, Germany and the UK. Since 1986 he has been with the School of Electronics and Computer Science, University of Southampton, UK and has been a consultant to Multiple Access Communications Ltd., UK. He currently holds the established Chair of Telecommunications. He co-authored 17 Wiley/IEEE Press books on mobile radio communications and published in excess of 800 research papers.Robert G. Maunder, University of Southampton, UKRobert G. Maunder has studied with the School of Electronics and Computer Science, University of Southampton, UK, since October 2000. His research interests include video coding, joint source/channel coding and iterative decoding. In 2007 he was appointed a lecturer in the School of ECS, Univ. of Southampton.Jin Wang, Aeroflex, UKJin Wang recently joined Aeroflex, Cambridge, UK. His research interests include video coding, channel coding, joint source/channel coding, and iterative detection and decoding for digital communication systems. He published numerous IEEE journal and conference papers on related topics.Lie-Liang Yang, University of Southampton, UKLie-Liang Yang works in the School of Electronics and Computer Science, University of Southampton, UK, and currently holds the academic post of Readership. Dr. Yang's research has covered a wide range of topics in wireless communications, networking and signal processing. He has published over 200 research papers in journals and conference proceedings, authored/co-authored two books and also published several book chapters.

• About the Authors Other Wiley and IEEE Press Books on Related TopicsAcknowledgmentsPrefaceChapter 1 Introduction1.1 Historical Overview1.2 Applications of Irregular Variable Length Coding1.3 Motivation and Methodology1.4 Outline of the Book1.5 Novel Contributions of the BookChapter 2 Information Theory Basics2.1 Issues in Information Theory2.2 AdditiveWhite Gaussian Noise Channel2.3 Information of a Source2.4 Average Information of Discrete Memoryless Sources2.5 Source Coding for a Discrete Memoryless Source2.6 Entropy of Discrete Sources Exhibiting Memory2.7 Examples2.8 Generating Model Sources2.9 Run-Length Coding for Discrete Sources Exhibiting Memory2.10 Information Transmission via Discrete Channels2.11 Capacity of Discrete Channels2.12 Shannon’s Channel Coding Theorem2.13 Capacity of Continuous Channels2.14 Shannon’s Message for Wireless Channels2.15 Summary and ConclusionsI Regular Concatenated Codes and Their DesignList of Symbols in Part IChapter 3 Sources and Source Codes3.1 Introduction3.2 Source Models3.3 Source Codes3.4 Soft-Decoding of Variable Length Codes3.5 Summary and ConclusionsChapter 4 Iterative Source/Channel Decoding4.1 Concatenated Coding and the Turbo Principle4.2 SISO APP Decoders and Their EXIT Characteristics4.3 Iterative Source/Channel Decoding Over AWGN Channels4.4 Iterative Channel Equalisation, Channel Decoding and Source Decoding4.5 Summary and ConclusionsChapter 5 Three-Stage Serially Concatenated Turbo Equalisation5.1 Introduction5.2 Soft-in/Soft-outMMSE Equalisation5.3 Turbo Equalisation Using MAP/MMSE Equalisers5.4 Three-stage serially concatenated coding and MMSE equalisation5.5 Approaching the Channel Capacity Using EXIT-Chart Matching and IRCCs .5.6 Rate-Optimisation of Serially Concatenated Codes5.7 Joint Source-Channel Turbo Equalisation Revisited5.8 Summary and ConclusionsII Irregular Concatenated VLCs and Their DesignList of Symbols in Part IIChapter 6 Irregular Variable Length Codes for Joint Source and Channel Coding6.1 Introduction6.2 Overview of proposed scheme6.3 Transmission frame structure6.4 VDVQ/RVLC encoding6.5 APP SISO VDVQ/RVLC decoding6.6 Simulation results6.7 Summary and ConclusionsChapter 7 Irregular Variable Length Codes for EXIT Chart Matching7.1 Introduction7.2 Overview of proposed schemes7.3 Parameter design for the proposed schemes7.4 Simulation results7.5 Summary and ConclusionsChapter 8 Genetic Algorithm Aided Design of Irregular Variable Length Coding Components8.1 Introduction8.2 The free distance metric8.3 Overview of the proposed genetic algorithm8.4 Overview of proposed scheme8.5 Parameter design for the proposed scheme8.6 Simulation results8.7 Summary and ConclusionsChapter 9 Joint EXIT Chart Matching of Irregular Variable Length Coding and IrregularUnity Rate Coding9.1 Introduction9.2 Modifications of the EXIT chart matching algorithm9.3 Joint EXIT chart matching9.4 Overview of the transmission scheme considered9.5 System parameter design9.6 Simulation results9.7 Summary and ConclusionsIII Applications of VLCsChapter 10 Iteratively Decoded VLC Space-Time Coded Modulation10.1 Introduction10.2 Space Time Coding Overview10.3 Two-Dimensional VLC Design10.4 VL-STCM Scheme10.5 VL-STCM-ID Scheme10.6 Convergence Analysis10.7 Simulation results10.8 ConclusionsChapter 11 Iterative Detection of Three-Stage Concatenated IrVLC FFH-MFSK11.1 Introduction11.2 System Overview11.3 Iterative decoding11.4 System parameter design and Results11.5 ConclusionChapter 12 Conclusions and Future Research12.1 Chapter 1: Introduction12.2 Chapter 2: Information Theory Basics12.3 Chapter 3: Sources and Source Codes12.4 Chapter 4: Iterative Source/Channel Decoding12.5 Chapter 5: Three-Stage Serially Concatenated Turbo Equalisation12.6 Chapter 6: Joint source and channel coding12.7 Chapters 7 – 9: EXIT chart matching12.8 Chapter 8: GA-aided Design of Irregular VLC Components12.9 Chapter 9: Joint EXIT Chart Matching of IRVLCs and IRURCs12.10Chapter 10: Iteratively Decoded VLC Space-Time Coded Modulation12.11Chapter 11: Iterative Detection of Three-Stage Concatenated IrVLC FFHMFSK12.12Future work12.13Closing remarksAppendix A VLC Construction AlgorithmsA.1 RVLC Construction Algorithm AA.2 RVLC Construction Algorithm BA.3 Greedy Algorithm (GA) and Majority Voting Algorithm (MVA)Appendix B SISO VLC DecoderAppendix C APP Channel EqualisationBibliographyGlossarySubject IndexAuthor Index