Information and Communication Theory
eBook - PDF

Information and Communication Theory

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Information and Communication Theory

About this book

An important text that offers an in-depth guide to how information theory sets the boundaries for data communication

In an accessible and practical style, Information and Communication Theory explores the topic of information theory and includes concrete tools that are appropriate for real-life communication systems. The text investigates the connection between theoretical and practical applications through a wide-variety of topics including an introduction to the basics of probability theory, information, (lossless) source coding, typical sequences as a central concept, channel coding, continuous random variables, Gaussian channels, discrete input continuous channels, and a brief look at rate distortion theory.

The author explains the fundamental theory together with typical compression algorithms and how they are used in reality. He moves on to review source coding and how much a source can be compressed, and also explains algorithms such as the LZ family with applications to e.g. zip or png.  In addition to exploring the channel coding theorem, the book includes illustrative examples of codes. This comprehensive text:

  • Provides an adaptive version of Huffman coding that estimates source distribution
  • Contains a series of problems that enhance an understanding of information presented in the text
  • Covers a variety of topics including optimal source coding, channel coding, modulation and much more
  • Includes appendices that explore probability distributions and the sampling theorem

Written for graduate and undergraduate students studying information theory, as well as professional engineers, master's students, Information and Communication Theory offers an introduction to how information theory sets the boundaries for data communication.

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Yes, you can access Information and Communication Theory by Stefan Host in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Information and Communication Theory
  2. Contents
  3. Preface
  4. 1 Introduction
  5. 2 Probability Theory
  6. 3 Information Measures
  7. 4 Optimal Source Coding
  8. 5 Adaptive Source Coding
  9. 6 Asymptotic Equipartition Property and Channel Capacity
  10. 7 Channel Coding
  11. 8 Information Measures for Continuous Variables
  12. 9 Gaussian Channel
  13. 10 Discrete Input Gaussian Channel
  14. 11 Information Theory and Distortion
  15. Appendix A Probability Distributions
  16. Appendix B Sampling Theorem
  17. Bibliography
  18. Index
  19. IEEE Press Series on Digital and Mobile Communication
  20. EULA