Compressed Sensing in Li-Fi and Wi-Fi Networks
Nonfiction, Science & Nature, Technology, Engineering, Computers, General Computing
| Author: | Malek Benslama, Hatem Mokhtari | ISBN: | 9780081019689 |
| Publisher: | Elsevier Science | Publication: | November 20, 2017 |
| Imprint: | ISTE Press - Elsevier | Language: | English |
| Author: | Malek Benslama, Hatem Mokhtari |
| ISBN: | 9780081019689 |
| Publisher: | Elsevier Science |
| Publication: | November 20, 2017 |
| Imprint: | ISTE Press - Elsevier |
| 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 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
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
