Annotation A major reference to error control using trellis and turbo coding 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 This book discusses the state-of-the-art in error control coding and its decoding algorithms with a strong focus on iterative methods and their standardization. Trellis and Turbo Coding: Iterative and Graph-Based Error Control Coding examines error control coding from a present day perspective, focusing on the recent developments of turbo coding systems and their algorithmic foundations. The main aspect of the book is error control, which is the discipline that concerns itself with avoiding and correcting errors that can occur during transmissions, processing, or storage of digital data. Historical results are discussed and introduced along the way to present a complete picture of modern error control coding. Many application examples and industry standards are included to illustrate the use of error control coding, in particular the graph-based systems, which dominate error protection in modern communications devices. This edition includes: . Trellis, turbo, and low-density parity-check (LDPC) coding and polar codes in a unified framework. Advanced research-related developments such as spatial coupling. A focus on algorithmic and implementation aspects of error control coding The authors offer readers a comprehensive and tutorial review about trellis and turbo coding with applications to modern communications. Christian B. Schlegel currently holds the NSERC Industrial Research Chair in Wireless Information Transmission and Networking at Dalhousie University. He holds PhD and MS degrees from the University of Notre Dame. Dr. Schlegel has authored several books including Trellis Coding (1997, IEEE Press) and Trellis and Turbo Coding (2004 Wiley-IEEE). Lance C. Přez is a Professor, Dean of Graduate Studies, and Associate Vice Chancellor for Academic Affairs at the University of Nebraska-Lincoln. He received his PhD and MS in electrical engineering at the University of Notre Dame. He co-authored Trellis and Turbo Coding ( 2004 Wiley-IEEE Press) with Christian Schlegel
a Major Reference To Error Control Using Trellis And Turbo
coding
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
Trellis and turbo coding are used to compress and clean communications signals to allow greater bandwidth and clarity Presents the basics, theory, and applications of these techniques with a focus on potential standard state-of-the art methods in the future Provides a classic basis for anyone who works in the area of digital communications A Wiley-IEEE Press Publication 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 Trellis and turbo coding are used to compress and clean communications signals to allow greater bandwidth and clarity. This title presents the basics, theory, and applications of these techniques with a focus on potential standard state-of-the art methods in the future With the advent of high-speed logic circuits and very large-scale integration (VLSI), data processing and storage equipment has inexorably moved towards employing digital techniques.
