Benslama M., Mokhtari H. Compressed Sensing in Li-Fi and Wi-Fi Networks

ISTE Press – Elsevier, 2017. — 276 p. — ISBN: 978-1-78548-200-7.This book 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.Shannon’s Theorem in Classic Data Processing
Shannon’s Theorem in Quantum Data
Sparse Signals and Compressed Sensing
Compressed Sensing and the Fourier Transform
Compressed Sensing and Entanglement
Compressed Sensing and Intelligent LiFi Systems
Compressed Sensing in LiFi Systems in Mobile Communications and Cryptography
Compressed Sensing in Wi-Fi Systems
Compressed Sensing in Interconnections Covering WiMAX, UMTS and MANET Satellite Networks
Compressed Sensing in Radar Interferometry
Compressed Sensing in Radars
Compressed Sensing in ElectromagnetismTrue PDF