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INFORMATION THEORY: CODING THEOREMS FOR DISCRETE MEMORYLESS SYSTEMS 2E 2011
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△看放大圖
ISBN: 9780521196819
類別: 電子/電機工程Electrical / Electronic Engineering
出版社: CAMBRIDGE UNIVERSITY PRESS
作者: CSISZAR
年份: 2011
裝訂別: 精裝
頁數: 512
定價: 1,400
售價: 1,260
原幣價: USD 99.00
狀態: 正常
Csiszar and Korner's book is widely regarded as a classic in the field of information theory, providing deep insights and expert treatment of the key theoretical issues. It includes in-depth coverage of the mathematics of reliable information transmission, both in two-terminal and multi-terminal network scenarios. Updated and considerably expanded, this new edition presents unique discussions of information theoretic secrecy and of zero-error information theory, including the deep connections of the latter with extremal combinatorics. The presentations of all core subjects are self contained, even the advanced topics, which helps readers to understand the important connections between seemingly different problems. Finally, 320 end-of-chapter problems, together with helpful solving hints, allow readers to develop a full command of the mathematical techniques. It is an ideal resource for graduate students and researchers in electrical and electronic engineering, computer science and applied mathematics.

• Fully updated and revised edition of a classic book in the field • Presents deep insights and expert treatment of the key theoretical issues, from two of the field's pioneering researchers • Includes new, unique coverage of information theoretic secrecy and zero-error information, and provides 320 end-of-chapter problems, and helpful solving hints

Table Of Contents

Part I. Information Measures in Simple Coding Problems: 1. Source coding and hypothesis testing: information measures; 2. Types and typical sequences; 3. Some formal properties of Shannon's information measures; 4. Non-block source coding; 5. Blowing up lemma: a combinatorial digression; Part II. Two-Terminal Systems: 6. The noisy channel problem; 7. Rate-distortion trade-off in source coding and the source-channel transmission problem; 8. Computation of channel capacity and ?-distortion rates; 9. A covering lemma: error exponent in source coding; 10. A packing lemma: on the error exponent in channel coding; 11. The compound channel revisited: zero-error information theory and extremal combinatorics; 12. Arbitrary varying channels; Part III. Multi-Terminal Systems: 13. Separate coding of correlated source; 14. Multiple-access channels; 15. Entropy and image size characteristics; 16. Source and channel networks; 17. Information-theoretic security.
Springer 國外現貨
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