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Error Correction Coding: Mathematical Methods and Algorithms 1st Edition

4.7 out of 5 stars 7 customer reviews
ISBN-13: 978-0471648000
ISBN-10: 0471648000
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Editorial Reviews

Review

"…one of the best error control coding books on the market. I highly recommend it for both academic study and practical reference." (Computing Reviews.com, January 16, 2006)

"Overall this text book is well written and easy to read…comprehensive…" (IEEE Communications Magazine, April 2007)

From the Back Cover

An unparalleled learning tool and guide to error correction coding

Error correction coding techniques allow the detection and correction of errors occurring during the transmission of data in digital communication systems. These techniques are nearly universally employed in modern communication systems, and are thus an important component of the modern information economy.

Error Correction Coding: Mathematical Methods and Algorithms provides a comprehensive introduction to both the theoretical and practical aspects of error correction coding, with a presentation suitable for a wide variety of audiences, including graduate students in electrical engineering, mathematics, or computer science. The pedagogy is arranged so that the mathematical concepts are presented incrementally, followed immediately by applications to coding. A large number of exercises expand and deepen students' understanding. A unique feature of the book is a set of programming laboratories, supplemented with over 250 programs and functions on an associated Web site, which provides hands-on experience and a better understanding of the material. These laboratories lead students through the implementation and evaluation of Hamming codes, CRC codes, BCH and R-S codes, convolutional codes, turbo codes, and LDPC codes.

This text offers both "classical" coding theory—such as Hamming, BCH, Reed-Solomon, Reed-Muller, and convolutional codes—as well as modern codes and decoding methods, including turbo codes, LDPC codes, repeat-accumulate codes, space time codes, factor graphs, soft-decision decoding, Guruswami-Sudan decoding, EXIT charts, and iterative decoding. Theoretical complements on performance and bounds are presented. Coding is also put into its communications and information theoretic context and connections are drawn to public key cryptosystems.

Ideal as a classroom resource and a professional reference, this thorough guide will benefit electrical and computer engineers, mathematicians, students, researchers, and scientists.

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Product Details

  • Hardcover: 800 pages
  • Publisher: Wiley-Interscience; 1 edition (June 6, 2005)
  • Language: English
  • ISBN-10: 0471648000
  • ISBN-13: 978-0471648000
  • Product Dimensions: 7.8 x 1.6 x 9.5 inches
  • Shipping Weight: 3.4 pounds (View shipping rates and policies)
  • Average Customer Review: 4.7 out of 5 stars  See all reviews (7 customer reviews)
  • Amazon Best Sellers Rank: #643,600 in Books (See Top 100 in Books)

Customer Reviews

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Top Customer Reviews

Format: Hardcover Verified Purchase
Error Correction Coding is very well written and easy to follow. Explanations are concise, and the book is filled with examples as well as coding assignments that really drive the principles home.
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Format: Paperback Verified Purchase
This book does a good job at laying out algorithms in an fashion that is easy enough to understand that you can then implement in software. The code that comes with the book is also very helpful. Lots of functions and scripts implemented in both Matlab and C. So far it has served as a good reference.
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Format: Hardcover Verified Purchase
This book has a stellar introduction to the topic of Error Correction Coding. The chapter flow is very nice and the programming labs are very instructive tutorials in learning the topic. The homework exercises are very well calculated in aiding in learning this interesting topic.
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Format: Hardcover Verified Purchase
I bought this book because of an urgent need to become an "instant expert" on error correcting codes, particular the modern soft codes - turbo and LDPC. Chapters 1-13, describing more traditional codes, involved a lot of new math concepts for me but were fairly easy to follow. For that part I would give five stars. However chapters 14 and 15, dealing with the my subjects of interest, try to use mathematical language to describe computer science algorithms, and it just doesn't work (at least, not for this computer scientist). It's practically impossible to keep track of what the notation means - there's no intuitive significance to something like boldface-nu-with-a-twiddly-arrow-on-top-superscript-[0]-subscript-m-prime,n. The same text written with descriptive names - as in a computer program - would probably be easy to understand (as these things go). Those two chapters I would only give one star to. As it stands it makes the Obfuscated C contest look like something out of "Beautiful Code". There's a place for math-style notation - notably, math - but it isn't here. I ended up going elsewhere for the information I actually needed, though I did learn a lot about traditional error correcting codes.
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