The Theory of Information and Coding: Student Edition (Encyclopedia of Mathematics and its Applications, Series Number 86)
Language: English
Published by Cambridge University Press, 2004
Series: Book 86 of 188 - Encyclopedia of Mathematics and its Applications
- Hardcover
- New

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- Title
- The Theory of Information and Coding: Student Edition (Encyclopedia of Mathematics and its Applications, Series Number 86)
- Author
- McEliece, R. J.
- Publisher
- Cambridge University Press
- Publication year
- 2004
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0521831857
- ISBN 13
- 9780521831857
- Series
- Book 86 of 188: Encyclopedia of Mathematics and its Applications
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
"Synopsis" may belong to another edition of this title.
Book 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 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.
"About the title" may belong to another edition of this title.
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