Near-Capacity Variable-Length Coding: Regular and EXIT-Chart-Aided Irregular Designs

Contents

About the Authors

Other Wiley and IEEE Press Books on Related Topics

Preface

Acknowledgements

Chapter 1: Introduction

1.1 Historical Overview

1.2 Applications of Irregular Variable-Length Coding

1.3 Motivation and Methodology

1.4 Outline of the Book

1.5 Novel Contributions of the Book

Chapter 2: Information Theory Basics

2.1 Issues in Information Theory

2.2 Additive White Gaussian Noise Channel

2.3 Information of a Source

2.4 Average Information of Discrete Memoryless Sources

2.5 Source Coding for a Discrete Memoryless Source

2.6 Entropy of Discrete Sources Exhibiting Memory

2.7 Examples

2.8 Generating Model Sources

2.9 Run-Length Coding for Discrete Sources Exhibiting Memory

2.10 Information Transmission via Discrete Channels

2.11 Capacity of Discrete Channels [216, 223]

2.12 Shannon’s Channel Coding Theorem [220, 228]

2.13 Capacity of Continuous Channels [217, 223]

2.14 Shannon’s Message for Wireless Channels

2.15 Summary and Conclusions

Part I: Regular Concatenated Codes and Their Design

List of Symbols in Part I

Chapter 3: Sources and Source Codes

3.1 Introduction

3.2 Source Models

3.3 Source Codes

3.4 Soft Decoding of Variable-Length Codes

3.5 Summary and Conclusions

Chapter 4: Iterative Source–Channel Decoding

4.1 Concatenated Coding and the Turbo Principle

4.2 SISOAPP Decoders and their EXIT Characteristics

4.3 Iterative Source–Channel Decoding Over AWGN Channels

4.4 Iterative Channel Equalization, Channel Decoding and Source Decoding

4.5 Summary and Conclusions ...