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The Theory of Information and Coding: Student Edition

AUTHOR McEliece, R. J.
PUBLISHER Cambridge University Press (06/05/2012)
PRODUCT TYPE eBook (Portable Document Format (PDF))

Description
This is a revised edition of McEliece's classic, published with students in mind. It is a self-contained introduction to all basic results in the theory of information and coding. This theory was developed to deal with the fundamental problem of communication, that of reproducing at one point, either exactly or approximately, a message selected at another point. There is a short and elementary overview introducing the reader to the concept of coding. Then, following the main results, the channel and source coding theorems, there is a study of specific coding schemes which can be used for channel and source coding. This volume can be used either for self-study, or for a graduate/undergraduate level course at university. It includes dozens of worked examples and several hundred problems for solution. The exposition will be easily comprehensible to readers with some prior knowledge of probability and linear algebra. Previous Edition Hb (2002): 0-521-00095-5
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Product Details
ISBN-13: 9780511819896
ISBN-10: 0511819897
Content Language: English
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Carton Quantity: 0
Country of Origin: US
Subject Information
BISAC Categories
Mathematics | Applied
Mathematics | Information Theory
Dewey Decimal: 003.54
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This is a revised edition of McEliece's classic, published with students in mind. It is a self-contained introduction to all basic results in the theory of information and coding. This theory was developed to deal with the fundamental problem of communication, that of reproducing at one point, either exactly or approximately, a message selected at another point. There is a short and elementary overview introducing the reader to the concept of coding. Then, following the main results, the channel and source coding theorems, there is a study of specific coding schemes which can be used for channel and source coding. This volume can be used either for self-study, or for a graduate/undergraduate level course at university. It includes dozens of worked examples and several hundred problems for solution. The exposition will be easily comprehensible to readers with some prior knowledge of probability and linear algebra. Previous Edition Hb (2002): 0-521-00095-5
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