Compressed Sensing in Li-Fi and Wi-Fi Networks

2017·0.37 MB·English

by  Malek Benslama, Hatem Mokhtari

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.