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Information Theory for Data Communications and Processing.

Shlomo Shamai Shitz1, Abdellatif Zaidi2

  • 1The Viterbi Faculty of Electrical Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel.

Entropy (Basel, Switzerland)
|December 8, 2020
PubMed
Summary
This summary is machine-generated.

This book explores information theory applications in data communications and processing. It presents novel contributions with practical implications for current and future communication systems.

Keywords:
data communicationsdata processinginformation theory

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Area of Science:

  • Information theory
  • Data communications
  • Signal processing

Background:

  • The book compiles research from the Entropy journal's special issue on Information Theory for Data Communications and Processing.
  • It covers eleven chapters, each offering novel contributions grounded in fundamental information theory principles.

Discussion:

  • Chapters address both theoretical advancements and practical challenges in data communication and processing.
  • The content highlights the relevance of information theory to modern and emerging communication technologies.

Key Insights:

  • Presents novel theoretical and practical contributions to information theory.
  • Demonstrates direct implications for contemporary and future communication systems.

Outlook:

  • Explores the evolving landscape of data communications and processing.
  • Highlights the foundational role of information theory in advancing communication systems.