Contents
Other Wiley and IEEE Press Books on Related Topics
1.2 Applications of Irregular Variable-Length Coding
1.3 Motivation and Methodology
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
2.4 Average Information of Discrete Memoryless Sources
2.5 Source Coding for a Discrete Memoryless Source
2.6 Entropy of Discrete Sources Exhibiting Memory
2.9 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
Part I: Regular Concatenated Codes and Their Design
Chapter 3: Sources and Source Codes
3.4 Soft Decoding of Variable-Length Codes
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