Channel Codes : Classical and Modern

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.

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.

Shu Lin is an Adjunct Professor in the Department of Electrical and Computer Engineering, University of California, Davis, and has been on the faculties of University of Hawaii and Texas A&M University. He has authored and co-authored numerous technical papers and several books, including the successful Error Control Coding with Daniel J. Costello. He is an IEEE Life Fellow and has received several awards, including the Alexander von Humboldt Research Prize for U.S. Senior Scientists (1996) and the IEEE Third-Millenium Medal (2000). He holds a NASA service award and has won the 2020 IEEE Leon Kirchmayer Graduate Teaching Award.

Stephen G. Wilson is Professor Emeritus of Electrical and Computer Engineering at University of Virginia, where he was on the faculty from 1976 to 2019. He taught courses and conducted research in digital communication systems, especially as relates to error control coding. He is the author of the textbook Digital Modulation and Coding (1995) and he has presented approximately 150 technical papers in this field. He served as Area Editor for Coding Techniques for IEEE Transactions on Communications. He consults to several industrial organizations in the areas of communication system analysis and digital signal processing.