Channel Codes
Classical and Modern

Introduction to the theory and practice of channel codes for reliable communication and data storage, with numerous examples and problems.

William E. Ryan (Author), Shu Lin (Author), Stephen G. Wilson (Author)

9781009335904, Cambridge University Press

Hardback, published 21 November 2024

790 pages
25 x 17.6 x 4.5 cm, 1.44 kg

'This is really an outstanding coding book, with most methods included.' John M. Cioffi, Stanford University

Channel coding lies at the heart of digital communication and data storage. Fully updated, including a new chapter on polar codes, this detailed introduction describes the core theory of channel coding, decoding algorithms, implementation details, and performance analyses. This new edition includes over 50 new end-of-chapter problems and new figures and worked examples throughout. The authors emphasize the practical approach and present clear information on modern channel codes, including turbo and low-density parity-check (LDPC) codes, detailed coverage of BCH codes, Reed-Solomon codes, convolutional codes, finite geometry codes, product codes as well as polar codes for error correction and detection, providing a one-stop resource for classical and modern coding techniques. Assuming no prior knowledge in the field of channel coding, the opening chapters begin with basic theory to introduce newcomers to the subject. Later chapters then extend to advanced topics such as code ensemble performance analyses and algebraic code design.

1. Coding and Capacity
2. Finite Fields, Vector Spaces, Finite Geometries, and Graphs
3. Linear Block Codes
4. Convolutional Codes
5. Low-Density Parity-Check Codes
6. Computer-Based Design of LDPC Codes
7. Turbo Codes
8. Ensemble Enumerators for Turbo and LDPC Codes
9. Ensemble Decoding Thresholds for LDPC and Turbo Codes
10. Polar Codes
11. Finite-Geometry LDPC Codes
12. Constructions of LDPC Codes Based on Finite Fields
13. LDPC Codes Based on Combinatorial Designs, Graphs, and Superposition
14. LDPC Codes for Binary Erasure Channels
15. Nonbinary LDPC Codes.

Subject Areas: Communications engineering / telecommunications [TJK]