Introduction to Convolutional Codes with Applications

  • Ajay¬†Dholakia

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Ajay Dholakia
      Pages 3-16
  3. Definitions, Structure, and Classification

    1. Front Matter
      Pages 17-17
    2. Ajay Dholakia
      Pages 19-42
  4. Error Correction and Decoding

    1. Front Matter
      Pages 95-95
    2. Ajay Dholakia
      Pages 97-116
    3. Ajay Dholakia
      Pages 117-126
    4. Ajay Dholakia
      Pages 127-136
    5. Ajay Dholakia
      Pages 137-146
  5. Applications

    1. Front Matter
      Pages 147-147
    2. Ajay Dholakia
      Pages 149-162
    3. Ajay Dholakia
      Pages 163-170
    4. Ajay Dholakia
      Pages 171-186
  6. Back Matter
    Pages 187-242

About this book


Introduction to Convolutional Codes with Applications is an introduction to the basic concepts of convolutional codes, their structure and classification, various error correction and decoding techniques for convolutionally encoded data, and some of the most common applications. The definition and representations, distance properties, and important classes of convolutional codes are also discussed in detail.
The book provides the first comprehensive description of table-driven correction and decoding of convolutionally encoded data. Complete examples of Viterbi, sequential, and majority-logic decoding technique are also included, allowing a quick comparison among the different decoding approaches.
Introduction to Convolutional Codes with Applications summarizes the research of the last two decades on applications of convolutional codes in hybrid ARQ protocols. A new classification allows a natural way of studying the underlying concepts of hybrid schemes and accommodates all of the new research. A novel application of fast decodable invertible convolutional codes for lost packet recovery in high speed networks is described. This opens the door for using convolutional coding for error recovery in high speed networks.
Practicing communications, electronics, and networking engineers who want to get a better grasp of the underlying concepts of convolutional coding and its applications will greatly benefit by the simple and concise style of explanation. An up-to-date bibliography of over 300 papers is included. Also suitable for use as a textbook or a reference text in an advanced course on coding theory with emphasis on convolutional codes.


Modulation Variable coding coding theory communication electronics tables

Authors and affiliations

  • Ajay¬†Dholakia
    • 1
  1. 1.North Carolina State UniversityUSA

Bibliographic information

  • DOI
  • Copyright Information Kluwer Academic Publishers 1994
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-6168-8
  • Online ISBN 978-1-4615-2712-1
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site
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