Summary
Decoding the Digital World: A Guide to Error-Correcting Codes
Using accessible mathematics, this textbook offers a comprehensive exploration of block codes and techniques essential for reliable communications and data storage. It delves into major code designs and constructions, examining them from geometric, algebraic, and graph-theoretic perspectives.
Discover decoding algorithms, error control methods for additive white Gaussian noise (AWGN) and erasure, and dataless reco…
Book Details
ISBN-13: | 9781316512623 |
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ISBN-10: | 1316512622 |
Author: | Shu Lin, Juane Li |
Publisher: | Cambridge University Press |
Imprint: | Cambridge University Press |
Format: | Hardcover |
Number of Pages: | 840 |
Release Date: | 9 December 2021 |
Weight: | 1.85kg |
Dimensions: | 253mm x 195mm x 44mm |
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What They're Saying
Critics Review
’… masterfully provides a comprehensive treatment of both traditional codes as well as new and most promising coding families and decoding algorithms …’ Bane Vasic, University of Arizona
‘… masterfully provides a comprehensive treatment of both traditional codes as well as new and most promising coding families and decoding algorithms …’ Bane Vasić, University of Arizona’ an excellent, unique, and valuable contribution to the teaching of the subject.’ Ian Blake, University of British Columbia‘A highly readable introduction into the theory of block codes, including classical code constructions, an extensive treatment of LDPC codes, with emphasis on quasi-cyclic constructions, and an introduction to polar codes. Recommended for a beginning graduate course in coding, with enough material for either one or two semesters. Numerous examples and problems make the book very student friendly.’ Daniel Costello, University of Notre Dame‘The book truly explains these highly mathematical subjects to a level that can be accessed and applied with as little background in mathematics as possible. It provides step-by-step explanation of all covered topics, both more theoretical or applied, and includes sufficient illustrative examples to assist understanding.’ Nikolay Yankov, zbMATH
About The Author
Shu Lin
Shu Lin is an Adjunct Professor in the Department of Electrical and Computer Engineering at the University of California, Davis, and an IEEE Life Fellow. He has authored and co-authored several books, including LDPC Codes Designs, Constructions, and Unification and Channel Codes: Classical and Modern.
Juane Li is Staff Systems Architect at Micron Technology Inc., San Jose, having previously completed her PhD at the University of California, Davis. She is also a co-author of LDPC Codes Designs, Constructions, and Unification.
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