Book contents
- Frontmatter
- Contents
- Editor's statement
- Section editor's foreword
- Preface to the first edition
- Preface to the second edition
- Introduction
- Part one Information theory
- 1 Entropy and mutual information
- 2 Discrete memoryless channels and their capacity–cost functions
- 3 Discrete memoryless sources and their rate-distortion functions
- 4 The Gaussian channel and source
- 5 The source–channel coding theorem
- 6 Survey of advanced topics for part one
- Part two Coding theory
- Appendices
- References
- Index of Theorems
- Index
5 - The source–channel coding theorem
from Part one - Information theory
Published online by Cambridge University Press: 05 June 2012
Book contents
- Frontmatter
- Contents
- Editor's statement
- Section editor's foreword
- Preface to the first edition
- Preface to the second edition
- Introduction
- Part one Information theory
- 1 Entropy and mutual information
- 2 Discrete memoryless channels and their capacity–cost functions
- 3 Discrete memoryless sources and their rate-distortion functions
- 4 The Gaussian channel and source
- 5 The source–channel coding theorem
- 6 Survey of advanced topics for part one
- Part two Coding theory
- Appendices
- References
- Index of Theorems
- Index
Summary
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- Type
- Chapter
- Information
- The Theory of Information and CodingStudent Edition, pp. 112 - 122Publisher: Cambridge University PressPrint publication year: 2004