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| 005 | 20060131160233 | |
| 008 | 020213s2002 nyua b 001 0 eng | |
| 010 | ▼a 2002022130 | |
| 020 | ▼a 0306467917 | |
| 035 | ▼a (KERIS)REF000006503912 | |
| 040 | ▼a DLC ▼c DLC ▼d DLC ▼d 211009 | |
| 042 | ▼a pcc | |
| 050 | 0 0 | ▼a Q360 ▼b .Y48 2002 |
| 082 | 0 0 | ▼a 003/.54 ▼2 21 |
| 090 | ▼a 003.54 ▼b Y48f | |
| 100 | 1 | ▼a Yeung, Raymond W. , ▼d 1962-. |
| 245 | 1 2 | ▼a A first course in information theory / ▼c Raymond W. Yeung. |
| 260 | ▼a New York : ▼b Kluwer Academic/Plenum Publishers , ▼c c2002. | |
| 300 | ▼a xxi, 412 p. : ▼b ill. ; ▼c 24 cm. + ▼e 1 CD-ROM (4 3/4 in.). | |
| 440 | 0 | ▼a Information technology--transmission, processing, and storage |
| 504 | ▼a Includes bibliographical references (p. 389-402) and index. | |
| 650 | 0 | ▼a Information theory. |
| 945 | ▼a KINS |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 003.54 Y48f | 등록번호 121120472 (16회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
This book provides 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.
This book provides an up-to-date introduction to information theory. 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.
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.
정보제공 :
목차
1. The Science of Information.- 2. Information Measures.- 3. Zero-Error Data Compression.- 4. Weak Typicality.- 5. Strong Typicality.- 6. The I-Measure.- 7. Markov Structures.- 8. Channel Capacity.- 9. Rate Distortion Theory.- 10. The Blahut-Arimoto Algorithms.- 11. Single-Source Network Coding.- 12. Information Inequalities.- 13. Shannon-Type Inequalities.- Appendix 13A: The Basic Inequalities and the Polymatroidal Axioms.- 14. Beyond Shannon-Type Inequalities.- 15. Multi-Source Network Coding.- Appendix 15A: Approximation of Random Variables with Infinite Alphabets.- 16. Entropy and Groups.- Bibliography.- Index.
정보제공 :