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  3. The Theory of Information and Coding
  • Cited by 35
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    • Publisher:
      Cambridge University Press
      Publication date:
      June 2012
      July 2004
      ISBN:
      9780511819896
      9780521831857
      DOI:
      https://doi.org/10.1017/CBO9780511819896
      Dimensions:
      (228 x 152 mm)
      Weight & Pages:
      0.68kg, 410 Pages
      Dimensions:
      Weight & Pages:
      • Subjects:
      Mathematics (general), Mathematics, Computer Science, Discrete Mathematics Information Theory and Coding, Cryptography, Cryptology and Coding
      Series:
      Encyclopedia of Mathematics and its Applications (86)
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    • Selected: Digital
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    Subjects:
    Mathematics (general), Mathematics, Computer Science, Discrete Mathematics Information Theory and Coding, Cryptography, Cryptology and Coding
    Series:
    Encyclopedia of Mathematics and its Applications (86)
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    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 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.

    Reviews

    "This is a student edition of a well-written book known for its clarity of exposition, broad selection of classical topics, and accessibility to non-specialists. It presents a nice general introduction to the theory of information and coding, and supplies plenty of technical details. The author manages to elucidate in a unified fashion the interconnections of a number of different branches of information and coding theory, which are often considered separately." - Mathematical Reviews, Andrei Kelarev

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