Overview
Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 602)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (6 chapters)
Keywords
About this book
Unlike other books in the area, it presents a general view of iterative detection that does not rely heavily on coding theory or graph theory. The features of the text include:
- Both theoretical background and numerous real-world applications.
- Over 70 detailed examples, 100 problems, 180 illustrations, tables of notation and acronyms, and an extensive bibliography and subject index.
- A whole chapter devoted to a case study on turbo decoder design.
- Receiver design guidelines, rules and suggestions.
- The most advanced view of iterative (turbo) detection based only on block diagrams and standard detection and estimation theory.
- Development of adaptive iterative detection theory.
- Application of adaptive iterative detection to phase and channel tracking in turbo coded systems and systems representative of digital mobile radio designs.
- An entire chapter dedicated to complexity reduction.
- Numerous recent research results.
- Discussion of open problems at the end of each chapter.
Audience: Iterative Detection: Adaptivity, Complexity Reduction, and Applications provides an accessible and detailed reference for researchers, practicing engineers, and students working in the field of detection and estimation. It will be of particular interest to those who would like to learn how iterative detection can be applied to equalization, interference mitigation, and general signal processing tasks. Researchers and practicing engineers interested in learning the turbo decoding algorithm should also have this book.
Authors and Affiliations
Bibliographic Information
Book Title: Iterative Detection
Book Subtitle: Adaptivity, Complexity Reduction, and Applications
Authors: Keith M. Chugg, Achilleas Anastasopoulos, Xiaopeng Chen
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/978-1-4615-1699-6
Publisher: Springer New York, NY
-
eBook Packages: Springer Book Archive
Copyright Information: Kluwer Academic Publishers 2001
Hardcover ISBN: 978-0-7923-7277-6Published: 31 December 2000
Softcover ISBN: 978-1-4613-5684-4Published: 23 October 2012
eBook ISBN: 978-1-4615-1699-6Published: 06 December 2012
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: XXVII, 359
Topics: Electrical Engineering, Signal, Image and Speech Processing