Compressed Sensing in Li-Fi and Wi-Fi Networks

Benslama, Malek; Mokhtari, Hatem

ISBN 10: 1785482009 ISBN 13: 9781785482007
Published by ISTE Press - Elsevier, 2017
New Hardcover

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Synopsis:

Compressed Sensing in Li-Fi and Wi-Fi Networks features coverage of the first applications in optical telecommunications and wireless. After extensive development of basic theory, many techniques are presented, such as non-asymptotic analysis of random matrices, adaptive detection, greedy algorithms, and the use of graphical models. The book can be used as a comprehensive manual for teaching and research in courses covering advanced signal processing, efficient data processing algorithms, and telecommunications. After a thorough review of the basic theory of compressed sensing, many mathematical techniques are presented, including advanced signal modeling, Nyquist sub-sampling of analog signals, the non-asymptotic analysis of random matrices, adaptive detection, greedy algorithms, and the use of graphical models.

  • Offers extensive development of basic theory behind telecommunications and wireless networks
  • Contains broad coverage of treat compressed sensing, including electromagnetism signals
  • Provides insights into the two key areas of telecommunications, WIFI and LIFI
  • Includes information on advanced signal modeling, Nyquist sub-sampling of analog signals, the non-asymptotic analysis of random matrices, adaptive detection, greedy algorithms, and more

About the Authors: Malek Benslama is currently Professor at the University of Constantine 1 in Algeria. He is also Doctor of Science with the INP Toulouse in France and a member of the scientific council of the Algerian Space Agency.

Hatem Mokhtari was formerly Lecturer at the University of Constantine 1 in Algeria. He currently provides consulting services on an international scale for telecommunications and holds a doctorate from Paul Verlaine University – Metz in France.

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Bibliographic Details

Title: Compressed Sensing in Li-Fi and Wi-Fi ...
Publisher: ISTE Press - Elsevier
Publication Date: 2017
Binding: Hardcover
Condition: New

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