Channel Codes
Classical and Modern

This detailed introduction presents the underlying theory and describes how to design and implement practical iterative codes.

William Ryan (Author), Shu Lin (Author)

9780521848688, Cambridge University Press

Hardback, published 17 September 2009

710 pages, 35 tables 250 exercises
25.2 x 17.6 x 3.5 cm, 1.5 kg

'If you are teaching about coding now or looking for a complete reference on coding, this is a safe bet.' Alfy Riddle, IEEE Microwave Magazine

Channel coding lies at the heart of digital communication and data storage, and this detailed introduction describes the core theory as well as decoding algorithms, implementation details, and performance analyses. In this book, Professors Ryan and Lin provide clear information on modern channel codes, including turbo and low-density parity-check (LDPC) codes. They also present detailed coverage of BCH codes, Reed-Solomon codes, convolutional codes, finite geometry codes, and product codes, providing a one-stop resource for both 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. 250 varied and stimulating end-of-chapter problems are also included to test and enhance learning, making this an essential resource for students and practitioners alike.

Preface
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. Finite geometry LDPC codes
11. Constructions of LDPC codes
12. LDPC codes based on combinatorial designs, graphs, and superposition
13. LDPC codes for binary erasure channels
14. Non-binary LDPC codes
15. LDPC code applications and advanced topics
Index.

Subject Areas: Computer networking & communications [UT], Communications engineering / telecommunications [TJK], Electronics & communications engineering [TJ], Electrical engineering [THR], Applied mathematics [PBW]