Book contents
- Frontmatter
- Contents
- List of contributors
- Preface
- 1 Introduction
- 2 Error-detecting codes
- 3 Repetition and Hamming codes
- 4 Data compression: efficient coding of a random message
- 5 Entropy and Shannon's Source Coding Theorem
- 6 Mutual information and channel capacity
- 7 Approaching the Shannon limit by turbo coding
- 8 Other aspects of coding theory
- References
- Index
Index
Published online by Cambridge University Press: 05 June 2012
- Frontmatter
- Contents
- List of contributors
- Preface
- 1 Introduction
- 2 Error-detecting codes
- 3 Repetition and Hamming codes
- 4 Data compression: efficient coding of a random message
- 5 Entropy and Shannon's Source Coding Theorem
- 6 Mutual information and channel capacity
- 7 Approaching the Shannon limit by turbo coding
- 8 Other aspects of coding theory
- References
- Index
Summary
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- Type
- Chapter
- Information
- A Student's Guide to Coding and Information Theory , pp. 187 - 191Publisher: Cambridge University PressPrint publication year: 2012