Algebraic and Stochastic Coding Theory

Author: Dave K. Kythe
Edition:
Publisher: CRC Press
Binding: Hardcover
ISBN: 1439881812
Category: Programming
List Price: $ 89.95
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Algebraic and Stochastic Coding Theory

Using a simple yet rigorous approach, Algebraic and Stochastic Coding Theory makes the subject of coding theory easy to understand for readers with a thorough knowledge of digital arithmetic, Boolean and modern algebra, and probability theory. Programming books Algebraic and Stochastic Coding Theory pdf. It explains the underlying principles of coding theory and offers a clear, detailed description of each code. More advanced readers will appreciate its coverage of recent developments in coding theory and stochastic processes. After a brief review of coding history and Boolean algebra, the book introduces linear codes, including Hamming and Golay codes. It then examines codes based on the Galois field theory as well as their application in BCH and especially the Reed–Solomon codes that have been used for error correction of data transmissions in space missions. Download books Algebraic and Stochastic Coding Theory pdf via mediafire, 4shared, rapidshare.

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TheNile.com.au About FAQ Payment Delivery Contact Us 1800-987-323 Algebraic and Stochastic Coding Theory (English) by Dave K. Kythe , Prem K. Kythe Format Hardcover Condition Brand New Language English Details ISBN 1439881812 ISBN-13 9781439881811 Title Algebraic and Stochastic Coding Theory Author Dave K. Kythe, Prem K. Kythe Format Hardcover Language English Pages 488 Publisher CRC Press Dimensions 155mm x 30mm x 236mm About Us The Nile is the ideal place for all your reading needs! With fast

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Taylor & Francis Inc | 2012 | 512 pages | ISBN-13: 9781439881811 | ISBN-10: 1439881812 | You save 10%

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Download Algebraic and Stochastic Coding Theory

It explains the underlying principles of coding theory and offers a clear, detailed description of each code. More advanced readers will appreciate its coverage of recent developments in coding theory and stochastic processes. After a brief review of coding history and Boolean algebra, the book introduces linear codes, including Hamming and Golay codes. It then examines codes based on the Galois field theory as well as their application in BCH and especially the Reed–Solomon codes that have been used for error correction of data transmissions in space missions. The major outlook in coding theory seems to be geared toward stochastic processes, and this book takes a bold step in this direction. As research focuses on error correction and recovery of erasures, the book discusses belief propagation and distributions. It examines the low-density parity-check and erasure codes that have opened up new approaches to improve wide-area network data transmission. It also describes modern codes, such as the Luby transform and Raptor codes, that are enabling new directions in high-speed transmission of very large data to multiple users. This robust, self-contained text fully explains coding problems, illustrating them with more than 200 examples. Combining theory and computational techniques, it will appeal not only to students but also to industry professionals, researchers, and academics in areas such as coding theory and signal and image processing. Download free Algebraic and Stochastic Coding Theory pdf