Mathematics of information and coding
Author(s)
Bibliographic Information
Mathematics of information and coding
（Translations of mathematical monographs, v. 203）
American Mathematical Society, c2002
Available at / 45 libraries
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Hokkaido University, Library, Graduate School of Science, Faculty of Science and School of Science図書
DC21:003.54/H192070549700
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Note
Originally published: Tokyo : Iwanami Shoten, 1994
Bibliography: p. 277-281
Includes index
Description and Table of Contents
Description
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 and 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.
Table of 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
by "Nielsen BookData"
