Iterative Detection: Adaptivity, Complexity Reduction, and Applications (The Springer International Series in Engineering and Computer Science)

Keith Chugg, Achilleas Anastasopoulos, Xiaopeng Chen

ISBN 10: 0792372778 / ISBN 13: 9780792372776

Editore: Springer 31 D, 2000

Riguardo questo articolo

Iterative Detection: Adaptivity, Complexity Reduction, and Applications (The Springer International Series in Engineering and Computer Science) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. . Codice articolo 7719-9780792372776

Dati bibliografici

Titolo: Iterative Detection: Adaptivity, Complexity ...

Casa editrice: Springer 31 D

Data di pubblicazione: 2000

Legatura: Hardcover

Condizione: Very Good

Descrizione articolo

Riassunto:

Iterative Detection: Adaptivity, Complexity Reduction, and Applications is a primary resource for both researchers and teachers in the field of communication.
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.

Among the applications considered in this book are joint equalization and decoding, turbo codes, multiuser detection and decoding, broadband wireless channel equalization, and applications to two-dimensional storage and imaging systems.
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.

Contenuti:

Preface. Introduction. 1. Overview of Non-Iterative Detection. 2. Principles of Iterative Detection. 3. Iterative Detection for Complexity Reduction. 4. Adaptive Iterative Detection. 5. Applications in Two Dimensional Systems. 6. Implementation Issues: A Turbo Decoder Design Case Study. References. Index.