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Mathematics of Information and Coding
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Mathematics of Information and Coding

Mathematics of Information and Coding

Te Sun Han, Kingo Kobayashi

286 pages, parution le 22/01/2002

Résumé

This book is intended to provide engineering and/or statistics students,communications engineers, and mathematicians with the firm theoretic basis of source coding (or data compression) in information theory. Although information theory consists of two main areas, source coding and channel coding, the authors choose here to focus only on source coding. The reason is that, in a sense, it is more basic than channel coding, and also because of recent achievements in source coding and compression. An important feature of the book is that whenever possible, the author describes universal coding methods, i.e., the methods that can be used without prior knowledge of the statistical properties of the data. The authors approach the subject of source coding from the very basics to the top frontiers in an intuitively transparent, but mathematically sound manner.

The book serves as a theoretical reference for communication professionals a nd statisticians specializing in information theory. It will also serve as an excellent introductory text for advanced-level and graduate students taking elementary or advanced courses in telecommunications, electrical engineering, statistics, mathematics, and computer science.

Contents

  • What is information theory?
  • Basics of information theory
  • Source and coding
  • Arithmetic code
  • Universal coding of integers
  • Universal coding of texts
  • Universal coding of compound sources
  • Data analysis and MDL principle
  • Bibliography
  • Index

Caractéristiques techniques

  PAPIER
Éditeur(s) American Mathematical Society (AMS)
Auteur(s) Te Sun Han, Kingo Kobayashi
Parution 22/01/2002
Nb. de pages 286
Format 18 x 26
Couverture Relié
Poids 700g
Intérieur Noir et Blanc
EAN13 9780821805343
ISBN13 978-0-8218-0534-3

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