A Student's Guide to Coding and Information Theory

This easy-to-read guide provides a concise introduction to the engineering background of modern communication systems, from mobile phones to data compression and storage. Background mathematics and specific engineering techniques are kept to a minimum so that only a basic knowledge of high-school ma...

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Bibliographic Details
Main Authors Moser, Stefan M., Chen, Po-Ning
Format eBook Book
LanguageEnglish
Published Cambridge Cambridge University Press 26.01.2012
Edition1
Subjects
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Summary:This easy-to-read guide provides a concise introduction to the engineering background of modern communication systems, from mobile phones to data compression and storage. Background mathematics and specific engineering techniques are kept to a minimum so that only a basic knowledge of high-school mathematics is needed to understand the material covered. The authors begin with many practical applications in coding, including the repetition code, the Hamming code and the Huffman code. They then explain the corresponding information theory, from entropy and mutual information to channel capacity and the information transmission theorem. Finally, they provide insights into the connections between coding theory and other fields. Many worked examples are given throughout the book, using practical applications to illustrate theoretical definitions. Exercises are also included, enabling readers to double-check what they have learned and gain glimpses into more advanced topics, making this perfect for anyone who needs a quick introduction to the subject.
Bibliography:Includes bibliographical references and index
ISBN:1107601967
1107015839
9781107015838
9781107601963
DOI:10.1017/CBO9781139059534