Description: 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.
Brief description: William E. Ryan is a Senior Associate at Zeta Associates, a Lockheed-Martin company, where he designs communication waveforms and their receivers for difficult channels. Dr. Ryan has published approximately 150 journal and conference papers on channel codes and channel equalization for data communication and magnetic storage. He has also co-authored several book chapters and a graduate-level textbook, including the first edition of Channel Codes: Classical and Modern. He was an Associate Editor for the IEEE Transactions on Communications from 1998 through 2005. He is a Fellow of the IEEE for his work in coding for communication and storage.
Review Quotes: 'This well-written volume is by three experienced coding theorists who have contributed so much to coding theory over the past few decades. While the volume covers classical algebraic coding theory, it has an emphasis on modern coding such as polar codes, turbo codes, and in particular the very important low-density parity check (LDPC) codes. The focus of the work is on the structure and practical aspects of implementing LDPC codes, and the numerous ways to decode them. It is unique in the very large number of error performance curves given, which are so effective in illustrating the theoretical issues raised for the various encoding/decoding techniques covered. It is a remarkable volume that is likely to become the standard reference both for professionals in industry implementing coded systems and as a graduate text.' Ian Blake, University of British Columbia