Channel Codes
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.
Professors Ryan and Lin, known for the clarity of their writing, provide the
latest 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.
The opening chapters begin with basic theory to introduce newcomers to the
subject, assuming no prior knowledge in the field of channel coding. Subsequent
chapters cover the encoding and decoding of the most widely used codes and extend
to advanced topics such as code ensemble performance analyses and algebraic code
design. Numerous varied and stimulating end-of-chapter problems, 250 in total,
are also included to test and enhance learning, making this an essential resource
for students and practitioners alike.
William E. Ryan is a Professor in the Department of Electrical and Computer Engi-
neering at the University of Arizona, where he has been a faculty member since
1998. Before moving to academia, he held positions in industry for five years. He
has published over 100 technical papers and his research interests include coding
and signal processing with applications to data storage and data communications.
Shu Lin is an Adjunct Professor in the Department of Electrical and Computer
Engineering, University of California, Davis. He has authored and co-authored
numerous technical papers and several books, including the successful Error Con-
trol Coding (with Daniel J. Costello). He is an IEEE Life Fellow and has received
several awards, including the Alexander von Humboldt Research Prize for US
Senior Scientists (1996) and the IEEE Third-Millenium Medal (2000).
