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A first course in information theory
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
The Science of Information
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Chapter 2
Information Measures
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Chapter 3
Zero-Error Data Compression
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Chapter 4
Weak Typicality
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Chapter 5
Strong Typicality
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Chapter 6
The I -Measure
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Chapter 7
Markov Structures
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Chapter 8
Channel Capacity
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Chapter 9
Rate-Distortion Theory
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Chapter 10
The Blahut-Arimoto Algorithms
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Chapter 11
Single-Source Network Coding
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Chapter 12
Information Inequalities
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Chapter 13
Shannon-Type Inequalities
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Chapter 14
Beyond Shannon-Type Inequalities
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Chapter 15
Multi-Source Network Coding
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Chapter 16
Entropy and Groups
Overall attention for this book and its chapters
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Mentioned by
news
1
news outlet
blogs
1
blog
twitter
1
X user
syllabi
4
institutions with syllabi
wikipedia
3
Wikipedia pages
Citations
dimensions_citation
256
Dimensions
Readers on
mendeley
93
Mendeley
Book overview
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
14. Beyond Shannon-Type Inequalities
15. Multi-Source Network Coding
16. Entropy and Groups
Summary
News
Blogs
X
Syllabi
Wikipedia
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
6
syllabi from
4
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Cornell University
3
Computer Science
University of Puerto Rico-Mayaguez
1
Law
National Chiao Tung University
1
Unknown
Unknown
1
Unknown