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© 2002

A First Course in Information Theory

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Raymond W. Yeung
    Pages 1-4
  3. Raymond W. Yeung
    Pages 5-39
  4. Raymond W. Yeung
    Pages 41-59
  5. Raymond W. Yeung
    Pages 61-71
  6. Raymond W. Yeung
    Pages 73-94
  7. Raymond W. Yeung
    Pages 95-124
  8. Raymond W. Yeung
    Pages 125-147
  9. Raymond W. Yeung
    Pages 149-186
  10. Raymond W. Yeung
    Pages 187-214
  11. Raymond W. Yeung
    Pages 215-231
  12. Raymond W. Yeung
    Pages 233-262
  13. Raymond W. Yeung
    Pages 263-278
  14. Raymond W. Yeung
    Pages 279-300
  15. Raymond W. Yeung
    Pages 301-325
  16. Raymond W. Yeung
    Pages 327-364
  17. Raymond W. Yeung
    Pages 365-387
  18. Back Matter
    Pages 389-412

About this book

Introduction

A First Course in Information Theory is an up-to-date introduction to information theory. In addition to the classical topics discussed, it provides the first comprehensive treatment of the theory of I-Measure, network coding theory, Shannon and non-Shannon type information inequalities, and a relation between entropy and group theory. ITIP, a software package for proving information inequalities, is also included. With a large number of examples, illustrations, and original problems, this book is excellent as a textbook or reference book for a senior or graduate level course on the subject, as well as a reference for researchers in related fields.

Keywords

Excel Group theory Information Matroid Random variable Shannon algorithms coding coding theory data compression entropy information theory

Authors and affiliations

  1. 1.The Chinese University of Hong KongHong Kong

Bibliographic information

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