NEVER MISS AN OXFORD SALE (SIGN UP HERE) |   VIEW BASKET
 
 
Advanced Search
Need Help?

Mathematics of Information and Coding

Te Sun Han and Kingo Kobayashi

Price: £62.00 (Hardback)
ISBN-13: 978-0-8218-0534-3
Publication date: 10 January 2002
American Mathematical Society

Series: Translations of Mathematical Monographs number 203
Search for titles in the same series
Ordering
Individual customers:
order by phone, post, or fax

Teachers in UK and European schools (and FE colleges in the UK):
order by phone, post, or fax

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.

Readership: Graduate students and research mathematicians interested in information theory.

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

Authors, editors, and contributors


Te Sun Han, The University of Electro-Communications, Tokyo and
Kingo Kobayashi, The University of Electro-Communications Toyko


Links to web resources and related information
More in the same subject area:
Mathematics
Mathematical theory of computation
Probability & statistics

The specification in this catalogue, including without limitation price, format, extent, number of illustrations, and month of publication, was as accurate as possible at the time the catalogue was compiled. Occasionally, due to the nature of some contractual restrictions, we are unable to ship a specific product to a particular territory. Jacket images are provisional and liable to change before publication.

 
Privacy Policy and Legal Notice
Content and Graphics copyright Oxford University Press, 2008. All rights reserved.