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Iterative Detection

Adaptivity, Complexity Reduction, and Applications

  • Textbook
  • © 2001

Overview

Authors:
  1. Keith M. Chugg

    1. University of Southern California TrellisWare Technologies, Inc., USA

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  2. Achilleas Anastasopoulos

    1. University of Michigan, USA

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    You can also search for this author in PubMed   Google Scholar

  3. Xiaopeng Chen

    1. Marvell Semiconductor, Inc., USA

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Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 602)

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-xxvii
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  2. Overview of Non-Iterative Detection

    • Keith M. Chugg, Achilleas Anastasopoulos, Xiaopeng Chen
    Pages 1-76

  3. Principles of Iterative Detection

    • Keith M. Chugg, Achilleas Anastasopoulos, Xiaopeng Chen
    Pages 77-191

  4. Iterative Detection for Complexity Reduction

    • Keith M. Chugg, Achilleas Anastasopoulos, Xiaopeng Chen
    Pages 193-238

  5. Adaptive Iterative Detection

    • Keith M. Chugg, Achilleas Anastasopoulos, Xiaopeng Chen
    Pages 239-271

  6. Applications in Two Dimensional Systems

    • Keith M. Chugg, Achilleas Anastasopoulos, Xiaopeng Chen
    Pages 273-313

  7. Implementation Issues: A Turbo Decoder Design Case Study

    • Peter A. Beerel
    Pages 315-340

  8. Back Matter

    Pages 341-359
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Keywords

About this book

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.

Authors and Affiliations

  • University of Southern California TrellisWare Technologies, Inc., USA

    Keith M. Chugg

  • University of Michigan, USA

    Achilleas Anastasopoulos

  • Marvell Semiconductor, Inc., USA

    Xiaopeng Chen

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

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