Features
- Cover Type: Hard Cover with 800 pages
- Published by: Wiley-Interscience June 6, 2005
- Written in: English
- ISBN 10 Number: 0471648000
- ISBN 13 Number: 978-0471648000
-
Book Dimensions:
9.4 x 7.6 x 1.6 inches
- Weighs: 3.4 pounds
Product 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)
Product Description
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.
An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.
Reader ReviewsI took the class the Dr. Moon and I spent some time proof-reading it. I have read other texts on this material and some of them are quite hard to understand. Usually it is because there are too few examples. In this book there are many examples to follow. There are problems that will test your theoretical and your practical knowledge of the subject. If you need an in-depth get-you-there book on this subject complete with programming examples, this is the book for you!
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