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This comprehensive manual covers everything from basic theory of compressed sensing to advanced signal processing and efficient data processing algorithms

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

About the Author

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.