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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