Trellis and turbo coding
β Christian Schlegel, Lance Perez
π Library
π
2004
π IEEE Press; Wiley-Interscience
π English
β¦ LIBER β¦
π
Trellis and Turbo Coding
β Scribed by Schlegel, Christian B.; PΓ©rez, Lance C.
- Publisher
- Wiley - IEEE Press
- Year
- 2004
- Tongue
- English
- Leaves
- 410
- Category
- Library
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No coin nor oath required. For personal study only.
β¦ Synopsis
In the last fifty years, research in error control coding has brought forth many advances. Recently, modern error control coding methods based on turbo coding have essentially solved the problem of reliable data communications over noisy channels. This book provides both industrial and academic communities with a clear, comprehensive, and practical grounding on the fundamentals, theory, and application of trellis and turbo coding.
Built on the belief that this combination of error control coding techniques will be the workhorse of future digital data links, this follow-up to the classic Trellis Coding provides in-depth chapters on:
- Modern digital communications, error control coding, and the drive towards capacity
- Communication theory basics, including the probabilistic viewpoint, vector communication channels, matched filters, and message sequences
- Trellis coded modulation, convolutional codes, performance bounds, and decoding strategies
- Turbo coded modulation, parallel and serial concatenation
- The most recent analysis techniques for turbo codes, applications, and emerging standards
β¦ Table of Contents
Content:
Front Matter
• Preface
• Table of Contents
1. Introduction
2. Communication Theory Basics
3. Trellis-Coded Modulation
4. Convolutional Codes
5. Link to Block Codes
6. Performance Bounds
7. Decoding Strategies
8. Factor Graphs
9. Low-Density Parity-Check Codes
10. Parallel Concatenation (Turbo Codes)
11. Serial Concatenation
12. Turbo-Coded Modulation
Index
π SIMILAR VOLUMES
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Trellis and turbo coding
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<p>As the demand for data reliability increases, coding for error control becomes increasingly important in data transmission systems and has become an integral part of almost all data communication system designs. In recent years, various trellis-based soft-decoding algorithms for linear block code