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Turbo Codes

Principles and Applications

  • Book
  • © 2000

Overview

Authors:
  1. Branka Vucetic

    1. The University of Sydney, Sydney, Australia

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    You can also search for this author in PubMed   Google Scholar

  2. Jinhong Yuan

    1. The University of New South Wales, Sydney, Australia

    View author publications

    You can also search for this author in PubMed   Google Scholar

Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 559)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xxvi
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  2. Introduction

    • Branka Vucetic, Jinhong Yuan
    Pages 1-12

  3. Block Codes

    • Branka Vucetic, Jinhong Yuan
    Pages 13-36

  4. Convolutional Codes

    • Branka Vucetic, Jinhong Yuan
    Pages 37-72

  5. Turbo Coding Performance Analysis and Code Design

    • Branka Vucetic, Jinhong Yuan
    Pages 73-115

  6. Trellis Based Decoding of Linear Codes

    • Branka Vucetic, Jinhong Yuan
    Pages 117-156

  7. Iterative Decoding

    • Branka Vucetic, Jinhong Yuan
    Pages 157-192

  8. Interleavers

    • Branka Vucetic, Jinhong Yuan
    Pages 193-229

  9. Turbo Coding for Fading Channels

    • Branka Vucetic, Jinhong Yuan
    Pages 231-262

  10. Turbo Trellis Coded Modulation Schemes

    • Branka Vucetic, Jinhong Yuan
    Pages 263-296

  11. Applications of Turbo Codes

    • Branka Vucetic, Jinhong Yuan
    Pages 297-306

  12. Back Matter

    Pages 307-312
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Keywords

About this book

This book grew out of our research, industry consulting and con­ tinuing education courses. Turbo coding initially seemed to belong to a restricted research area, while now has become a part of the mainstream telecommu­ nication theory and practice. The turbo decoding principles have found widespread applications not only in error control, but in de­ tection, interference suppression and equalization. Intended for use by advanced students and professional engi­ neers, involved in coding and telecommunication research, the book includes both basic and advanced material. The chapters are se­ quenced so that the knowledge is acquired in a logical and progres­ sive way. The algorithm descriptions and analysis are supported by examples throughout the book. Performance evaluations of the presented algorithms are carried out both analytically and by sim­ ulations. Basic material included in the book has been taught to students and practicing professionals over the last four years in the form of senior undergraduate or graduate courses, lecture series and short continuing education courses.

Authors and Affiliations

  • The University of Sydney, Sydney, Australia

    Branka Vucetic

  • The University of New South Wales, Sydney, Australia

    Jinhong Yuan

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