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The Theory of Information and Coding

McEliece, Robert·2002·Cambridge University Press eBooks

Abstract

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.

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Metadata

Authors
McEliece, R.
Venue
Cambridge University Press eBooks
Published
2002-04-18
OpenAlex
W187677220
Cited by
986
References
0
FWCI
35.69
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Theory of Information and Coding. https://app.cochat.ai/papers/10.1017/cbo9780511606267
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McEliece, R. (2002). The Theory of Information and Coding. Cambridge University Press eBooks. https://doi.org/10.1017/cbo9780511606267

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.