Channel Codes: Classical and Modern

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Cambridge University Press, Sep 17, 2009 - Technology & Engineering
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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.

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Finite Fields Vector Spaces Finite Geometries and Graphs
Linear Block Codes
Convolutional Codes
LowDensity ParityCheck Codes
ComputerBased Design of LDPC Codes
Turbo Codes
Ensemble Enumerators for Turbo and LDPC Codes
Ensemble Enumerators
FiniteGeometry LDPC Codes
Constructions of LDPC Codes Based on Finite Fields
LDPC Codes Based on Combinatorial Designs Graphs and Superposition
LDPC Codes for Binary Erasure Channels
Nonbinary LDPC Codes
LDPC Code Applications and Advanced Topics

Ensemble Decoding Thresholds for LDPC and Turbo Codes

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About the author (2009)

William E. Ryan is a Professor in the Department of Electrical and Computer Engineering 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 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).