Skip to main content
Elsevier

Compressed Sensing in Li-Fi and Wi-Fi Networks

  • 1st Edition - November 16, 2017
  • Latest edition
  • Authors: Malek Benslama, Hatem Mokhtari
  • Language: English

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 the… Read more

Data Mining & ML

Unlock the cutting edge

Up to 20% on trusted resources. Build expertise with data mining, ML methods.

Explore now

Description

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.

Key features

  • 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

Readership

Students and Researchers in signal processing and wireless telecommunications

Table of contents

1. Shannon’s Theorem in Classic Data Processing

2. Shannon’s Theorem in Quantum Data

3. Sparse Signals and Compressed Sensing

4. Compressed Sensing and the Fourier Transform

5. Compressed Sensing and Entanglement

6. Compressed Sensing and Intelligent LiFi Systems

7. Compressed Sensing in LiFi Systems in Mobile Communications and Cryptography

8. Compressed Sensing in WiFi Systems

9. Compressed Sensing in Interconnections Covering WiMAX, UMTS and MANET Satellite Networks

10. Compressed Sensing in Radar Interferometry

11. Compressed Sensing in Radars

12. Compressed Sensing in Electromagnetism

Product details

  • Edition: 1
  • Latest edition
  • Published: November 20, 2017
  • Language: English

About the authors

MB

Malek Benslama

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.
Affiliations and expertise
University of Constantine 1, Algeria

HM

Hatem Mokhtari

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.
Affiliations and expertise
University of Constantine 1, Algeria

View book on ScienceDirect

Read Compressed Sensing in Li-Fi and Wi-Fi Networks on ScienceDirect