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| 001 | 000045291353 | |
| 005 | 20181210103121 | |
| 008 | 050419s2006 njua b 001 0 eng | |
| 010 | ▼a 2005047799 | |
| 020 | ▼a 0471241954 | |
| 035 | ▼a (KERIS)REF000011096381 | |
| 040 | ▼a DLC ▼c DLC ▼d DLC ▼d 211009 | |
| 050 | 0 0 | ▼a Q360 ▼b .C68 2005 |
| 082 | 0 0 | ▼a 003/.54 ▼2 23 |
| 084 | ▼a 003.54 ▼2 DDCK | |
| 090 | ▼a 003.54 ▼b C873e2 | |
| 100 | 1 | ▼a Cover, T. M., ▼d 1938-. |
| 245 | 1 0 | ▼a Elements of information theory / ▼c by Thomas M. Cover, Joy A. Thomas. |
| 250 | ▼a 2nd ed. | |
| 260 | ▼a Hoboken, N.J. : ▼b J. Wiley, ▼c 2006. | |
| 300 | ▼a xxiii, 748 p. : ▼b ill. ; ▼c 25 cm. | |
| 500 | ▼a "A Wiley-Interscience publication." | |
| 504 | ▼a Includes bibliographical references and index. | |
| 650 | 0 | ▼a Information theory. |
| 700 | 1 | ▼a Thomas, Joy A. |
| 945 | ▼a KINS |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 003.54 C873e2 | 등록번호 121131706 (54회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
| No. 2 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 003.54 C873e2 | 등록번호 121185316 (45회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
| No. 3 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 003.54 C873e2 | 등록번호 121246891 (25회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
The latest edition of this classic is updated with new problem sets and material
The Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory.
All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points.
The Second Edition features:
* Chapters reorganized to improve teaching
* 200 new problems
* New material on source coding, portfolio theory, and feedback capacity
* Updated references
Now current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications.
An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.
The latest edition of this classic is updated with new problem sets and material
The Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory.
All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points.
The Second Edition features:
* Chapters reorganized to improve teaching
* 200 new problems
* New material on source coding, portfolio theory, and feedback capacity
* Updated references
Now current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications.
An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.
New feature
The latest edition of this classic is updated with new problem sets and materialThe Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory.
All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points.
The Second Edition features:
- Chapters reorganized to improve teaching
- 200 new problems
- New material on source coding, portfolio theory, and feedback capacity
- Updated references
Now current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications.
정보제공 :
목차
Entropy, relative entropy, and mutual information -- Asymptotic equipartition property -- Entropy rates of a stochastic process -- Data compression -- Gambling and data compression -- Channel capacity -- Differential entropy -- Gaussian channel -- Rate distortion theory -- Information theory and statistics -- Maximum entropy -- Universal source coding -- Kolmogorov complexity -- Network information theory -- Information theory and portfolio theory -- Inequalities in information theory.