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EBOOK & TEST BANK & SOLUTION MANUAL - Elements of Information Theory - Full Edition (Thomas M. Cover)
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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.
Table of Contents
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Frontmatter (Pages: i-xxiii)
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CHAPTER 1
Introduction and Preview (Pages: 1-12)
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CHAPTER 2
Entropy, Relative Entropy, and Mutual Information (Pages: 13-55)
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CHAPTER 3
Asymptotic Equipartition Property (Pages: 57-69)
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CHAPTER 4
Entropy Rates of a Stochastic Process (Pages: 71-101)
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CHAPTER 5
Data Compression (Pages: 103-158)
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CHAPTER 6
Gambling and Data Compression (Pages: 159-182)
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CHAPTER 7
Channel Capacity (Pages: 183-241)
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CHAPTER 8
Differential Entropy (Pages: 243-259)
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CHAPTER 9
Gaussian Channel (Pages: 261-299)
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CHAPTER 10
Rate Distortion Theory (Pages: 301-346)
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CHAPTER 11
Information Theory and Statistics (Pages: 347-408)
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CHAPTER 12
Maximum Entropy (Pages: 409-425)
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CHAPTER 13
Universal Source Coding (Pages: 427-462)
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CHAPTER 14
Kolmogorov Complexity (Pages: 463-508)
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CHAPTER 15
Network Information Theory (Pages: 509-611)
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CHAPTER 16
Information Theory and Portfolio Theory (Pages: 613-656)
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CHAPTER 17
Inequalities in Information Theory (Pages: 657-687)
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Bibliography (Pages: 689-721)
First Page
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List of Symbols (Pages: 723-726)
First Page
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Index (Pages: 727-748)
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EBOOK - Elements of Information Theory - 2nd Edition (Thomas M. Cover). Full
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Solution Manual for Elements of Information Theory - 2nd Edition (Thomas M. Cover) Full
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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.
Table of Contents
Export Citation(s)
Free Access
Frontmatter (Pages: i-xxiii)
Summary
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CHAPTER 1
Introduction and Preview (Pages: 1-12)
Summary
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CHAPTER 2
Entropy, Relative Entropy, and Mutual Information (Pages: 13-55)
Summary
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CHAPTER 3
Asymptotic Equipartition Property (Pages: 57-69)
Summary
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CHAPTER 4
Entropy Rates of a Stochastic Process (Pages: 71-101)
Summary
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CHAPTER 5
Data Compression (Pages: 103-158)
Summary
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CHAPTER 6
Gambling and Data Compression (Pages: 159-182)
Summary
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CHAPTER 7
Channel Capacity (Pages: 183-241)
Summary
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CHAPTER 8
Differential Entropy (Pages: 243-259)
Summary
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CHAPTER 9
Gaussian Channel (Pages: 261-299)
Summary
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CHAPTER 10
Rate Distortion Theory (Pages: 301-346)
Summary
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CHAPTER 11
Information Theory and Statistics (Pages: 347-408)
Summary
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CHAPTER 12
Maximum Entropy (Pages: 409-425)
Summary
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CHAPTER 13
Universal Source Coding (Pages: 427-462)
Summary
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CHAPTER 14
Kolmogorov Complexity (Pages: 463-508)
Summary
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CHAPTER 15
Network Information Theory (Pages: 509-611)
Summary
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CHAPTER 16
Information Theory and Portfolio Theory (Pages: 613-656)
Summary
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CHAPTER 17
Inequalities in Information Theory (Pages: 657-687)
Summary
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Free Access
Bibliography (Pages: 689-721)
First Page
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Free Access
List of Symbols (Pages: 723-726)
First Page
Request permissions
Free Access
Index (Pages: 727-748)
LINK 3 - TÌM KIẾM SÁCH/TÀI LIỆU ONLINE (GIÁ ƯU ĐÃI NHẤT)
LINK 4 - TÌM KIẾM SÁCH/TÀI LIỆU ONLINE (GIÁ ƯU ĐÃI NHẤT)
EBOOK - Elements of Information Theory - 2nd Edition (Thomas M. Cover). Full
LINK DOWNLOAD (TÀI LIỆU VIP MEMBER)
Solution Manual for Elements of Information Theory - 2nd Edition (Thomas M. Cover) Full
LINK DOWNLOAD (TÀI LIỆU VIP MEMBER)
Test Bank for Elements of Information Theory - 2nd Edition (Thomas M. Cover) Full
LINK DOWNLOAD (UPDATING...)
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