General

Authors

Search


Committee login



 
 

 


 

 

Forthcoming

Small thumbnail

Baidu SEO

Challenges and Intricacies of Marketing in China

Small thumbnail

Asymmetric Alliances and Information Systems

Issues and Prospects

Small thumbnail

Technicity vs Scientificity

Complementarities and Rivalries

Small thumbnail

Freshwater Fishes

250 Million Years of Evolutionary History

Small thumbnail

Biostatistics and Computer-based Analysis of Health Data using SAS

Biostatistics and Health Science Set

Small thumbnail

Predictive Control

Small thumbnail

Fundamentals of Advanced Mathematics 1

Categories, Algebraic Structures, Linear and Homological Algebra

Small thumbnail

Swelling Concrete in Dams and Hydraulic Structures

DSC 2017

Small thumbnail

The Chemostat

Mathematical Theory of Microorganims Cultures

Small thumbnail

Earthquake Occurrence

Short- and Long-term Models and their Validation

Small thumbnail

Channel Coding in Communication Networks

From Theory to Turbocodes

Edited by Alain Glavieux †, ENST Bretagne, France

ISBN: 9781905209248

Publication Date: January 2007   Hardback   440 pp.

220.00 USD


Add to cart

eBooks


Ebook Ebook

Description

This book provides a comprehensive overview of the subject of channel coding. It starts with a description of information theory, focusing on the quantitative measurement of information and introducing two fundamental theorems on source and channel coding. The basics of channel coding in two chapters, block codes and convolutional codes, are then discussed, and for these the authors introduce weighted input and output decoding algorithms and recursive systematic convolutional codes, which are then used in the rest of the book. Trellis coded modulations, which have their primary applications in high spectral efficiency transmissions, are then covered, before the discussion moves on to an advanced coding technique called turbocoding. These codes, invented in the 1990s by C. Berrou and A. Glavieux, show exceptional performance. The differences between convolutional turbocodes and block turbocodes are distinguished, and for each family, the authors present the coding and decoding principles, together with their performances. The book concludes with a chapter on the implementation of turbocodes in circuits. As such, anyone involved in the areas of channel coding and error correcting coding will find this book to be of invaluable assistance.

Contents

1. Information Theory, Gérard Battail.
2. Block Codes, Alain Poli.
3. Convolutional Codes, Alain Glavieux and Sandrine Vaton.
4. Coded Modulations, Ezio Biglieri.
5. Turbocodes, Claude Berrou, Catherine Douillard, Michel Jézéquel and Annie Picart.
6. Block Turbocodes, Ramesh Pyndiah and Patrick Adde.
7. Block Turbocodes in a Practical Setting, Patrick Adde and Ramesh Pyndiah.

About the Authors

Together with Professor Claude Berrou, Alain Glavieux developed a new family of error correction codes called turbo codes. He also pioneered the principle of turbo equalization.
He received an IEEE Golden Jubilee Award for Technological Innovation in 1998, the IEEE Richard W. Hamming Medal in 2003, and the French Academy of Sciences Grand Prix France Telecom in 2003.
Claude Berrou won the 2005 Marconi Prize, the first time in history that a French scientist has won this award.

Downloads

DownloadTable of Contents - PDF File - 199 Kb

DownloadIntroduction - PDF File - 94 Kb

Related Titles



































0.03575 s.