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  • © 2017

Information Theory and Coding - Solved Problems

  • Explains the basic principles of information theory and coding using complex numerical examples with detailed solutions

  • Can be treated as illustrated account of an information processing system, suitable for step-by-step learning

  • Offers a short introduction to linear algebra, and finite fields are given in appendices, which means readers don’t require a high level of mathematical skills

  • Color figures and illustrative limiting cases enable readers to easily understand this complex topic

  • Carefully chooses the numerical values to provide in-depth explanations of the described algorithms

Buying options

eBook USD 119.00
Price excludes VAT (USA)
  • ISBN: 978-3-319-49370-1
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 159.99
Price excludes VAT (USA)
Hardcover Book USD 219.99
Price excludes VAT (USA)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-viii
  2. Introduction

    • Predrag Ivaniš, Dušan Drajić
    Pages 1-3
  3. Information Sources

    • Predrag Ivaniš, Dušan Drajić
    Pages 5-43
  4. Data Compression (Source Encoding)

    • Predrag Ivaniš, Dušan Drajić
    Pages 45-90
  5. Information Channels

    • Predrag Ivaniš, Dušan Drajić
    Pages 91-151
  6. Block Codes

    • Predrag Ivaniš, Dušan Drajić
    Pages 153-235
  7. Cyclic Codes

    • Predrag Ivaniš, Dušan Drajić
    Pages 237-325
  8. Convolutional Codes and Viterbi Algorithm

    • Predrag Ivaniš, Dušan Drajić
    Pages 327-383
  9. Trellis Decoding of Linear Block Codes, Turbo Codes

    • Predrag Ivaniš, Dušan Drajić
    Pages 385-446
  10. Low Density Parity Check Codes

    • Predrag Ivaniš, Dušan Drajić
    Pages 447-507
  11. Back Matter

    Pages 509-517

About this book

This book is offers a comprehensive overview of information theory and error control coding, using a different approach then in existed literature. The chapters are organized according to the Shannon system model, where one block affects the others. A relatively brief theoretical introduction is provided at the beginning of every chapter, including a few additional examples and explanations, but without any proofs. And a short overview of some aspects of abstract algebra is given at the end of the corresponding chapters. The characteristic complex examples with a lot of illustrations and tables are chosen to provide detailed insights into the nature of the problem. Some limiting cases are presented to illustrate the connections with the theoretical bounds. The numerical values are carefully selected to provide in-depth explanations of the described algorithms. Although the examples in the different chapters can be considered separately, they are mutually connected and the conclusions for one considered problem relate to the others in the book.

Keywords

  • Error control coding
  • Data compression
  • Block and convolutional codes
  • Iterative decoding techniques
  • Coding theory textbook

Authors and Affiliations

  • Department of Telecommunications, School of Electrical Engineering, University of Belgrade, Belgrade, Serbia

    Predrag Ivaniš, Dušan Drajić

About the authors

This book is offers a comprehensive overview of information theory and error control coding, using a different approach then in existed literature. The chapters are organized according to the Shannon system model, where one block affects the others. A relatively brief theoretical introduction is provided at the beginning of every chapter, including a few additional examples and explanations, but without any proofs. And a short overview of some aspects of abstract algebra is given at the end of the corresponding chapters. The characteristic complex examples with a lot of illustrations and tables are chosen to provide detailed insights into the nature of the problem. Some limiting cases are presented to illustrate the connections with the theoretical bounds. The numerical values are carefully selected to provide in-depth explanations of the described algorithms. Although the examples in the different chapters can be considered separately, they are mutually connected and the conclusions for one considered problem relate to the others in the book.

Bibliographic Information

Buying options

eBook USD 119.00
Price excludes VAT (USA)
  • ISBN: 978-3-319-49370-1
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 159.99
Price excludes VAT (USA)
Hardcover Book USD 219.99
Price excludes VAT (USA)