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Coding and information theory

by Richard W. Hamming (Author)

4.7 5 ratings

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Chpt 1-Intro, Chpt 2-Error-Detecting Codes, Chpt 3- Error Correcting Codes, Chpt 4-Variable-Length Huffman, Chpt 5-Miscellaneous Codes, Chpt 6-Entropy and Shannon's first Theorem, Chpt 7- Channel and Mutual Information, Chpt 8- Channel Capacity, Chpt 9- Some Mathematical Preliminaries, Chpt 10- Shannon's Main Theorem, Chpt 11- Algebraic Coding, Appendix Bandwidth and the Sample Theorem, Appendix Some tables for Entropy Calculations.

Product details

Publisher ‏ : ‎ Prentice-Hall (January 1, 1980)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 239 pages
ISBN-10 ‏ : ‎ 0131391399
ISBN-13 ‏ : ‎ 978-0131391390
Item Weight ‏ : ‎ 8.1 ounces

Best Sellers Rank: #772,228 in Books (See Top 100 in Books)
- #116 in Information Theory
- #4,128 in Core
- #7,294 in Mathematics (Books)

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orgusa

Okay, it's old and thin, but the content is GOLD.

Reviewed in the United States on September 16, 2005

This book is a thin hardback, and presents digital signal encoding for error detection and correction the best of any book I've ever seen. If you're in digital communications, it's a must (if you can find it...)

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Mehrdad Khakparaghi

An accessible introduction to Coding Theory

Reviewed in the United States on June 5, 2023

The book starts by introducing the basic concepts of coding theory, including binary codes, error detection, and error correction. Hamming's meticulous explanations and intuitive examples enable readers to grasp the foundations of coding theory, even with limited prior knowledge. He progresses to explore more advanced topics, such as block codes, linear codes, and cyclic codes, providing comprehensive coverage of various coding techniques and their applications.

Hamming not only presents the theoretical underpinnings of coding theory but also emphasizes their real-world applications. He discusses error control coding schemes used in communication systems, storage devices, and data transmission, shedding light on how coding theory plays a vital role in ensuring reliable and efficient information transfer.

Furthermore, Hamming's book offers a rich exploration of error detection and correction codes. He explains concepts like parity check codes, Hamming codes, Reed-Solomon codes, and BCH codes, providing detailed insights into their encoding and decoding processes. Hamming's clarity and step-by-step explanations make these complex topics more approachable, allowing readers to understand the mechanisms behind error detection and correction algorithms.

When comparing "Coding and Information Theory" to other notable books in the field, it stands out for its emphasis on practical applications and intuitive explanations. While "Elements of Information Theory" by Thomas Cover and Joy Thomas provides a comprehensive overview of information theory, Hamming's book specifically focuses on coding theory and its practical implications. It serves as an excellent complement to Cover and Thomas's work by providing a deeper understanding of the coding techniques that underpin information theory.

Additionally, "Introduction to Coding Theory" by J.H. van Lint and "Algebraic Codes for Data Transmission" by Richard Blahut are notable references in the field of coding theory. Van Lint's book offers a more abstract and algebraic approach to coding theory, while Blahut's work delves into the mathematical foundations of coding theory. Hamming's book, on the other hand, strikes a balance between theoretical rigor and practical applications, making it accessible to a wider audience.

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