A student's guide to coding and information theory
This guide provides an introduction to the engineering background of modern communication systems, from mobile phones to data compression and storage. The authors begin with many practical applications in coding, including the repetition code, the Hamming code and the Huffman code. They then explain...
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Cambridge ; New York :
Cambridge University Press ,
2012
|
| Subjects: |
Table of Contents:
- 1. Error-detecting codes
- 2. Repetition and hamming codes
- 3. Data compression: efficient coding of a random message
- 4. Entropy and Shannon's source coding theorem
- 5. Mutual information and channel capacity
- 6. Approaching the Shannon limit by turbo coding
- 7. Other aspects of coding theory