Cognitive Networked Sensing and Big Data
Seiten
2013
Springer-Verlag New York Inc.
978-1-4614-4543-2 (ISBN)
Springer-Verlag New York Inc.
978-1-4614-4543-2 (ISBN)
Wireless Distributed Computing and Cognitive Sensing defines high-dimensional data processing in the context of wireless distributed computing and cognitive sensing. Also the author provides an examination of large cognitive radio network; distributed sensing; and distributed computing.
Wireless Distributed Computing and Cognitive Sensing defines high-dimensional data processing in the context of wireless distributed computing and cognitive sensing. This book presents the challenges that are unique to this area such as synchronization caused by the high mobility of the nodes. The author will discuss the integration of software defined radio implementation and testbed development. The book will also bridge new research results and contextual reviews. Also the author provides an examination of large cognitive radio network; hardware testbed; distributed sensing; and distributed computing.
Wireless Distributed Computing and Cognitive Sensing defines high-dimensional data processing in the context of wireless distributed computing and cognitive sensing. This book presents the challenges that are unique to this area such as synchronization caused by the high mobility of the nodes. The author will discuss the integration of software defined radio implementation and testbed development. The book will also bridge new research results and contextual reviews. Also the author provides an examination of large cognitive radio network; hardware testbed; distributed sensing; and distributed computing.
Dr. Qiu is a Professor in the Department of Electrical and Computer Engineering, Center for Manufacturing Research, Tennessee Technological University, Cookeville, Tennessee
Fundamentals for Cognitive Radios.- Synchronization.- Network Control.- Concentration of Eigenvalues and their Functionals.- Non-Asymptotic, Local Theory of Random Matrices.- Asymptotic, Global Theory of Random Matrices.- Compressed Sensing and Sparse Recovery.- Matrix Completion and Low-Rank Matrix Recovery.- Covariance Matrix Estimation in High Dimensions.- Detection in High Dimensions.- Database Friendly Data Processing.- From Network to Big Data.
| Zusatzinfo | 16 Illustrations, color; 1 Illustrations, black and white; XXIII, 614 p. |
|---|---|
| Verlagsort | New York, NY |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Nachrichtentechnik | |
| ISBN-10 | 1-4614-4543-4 / 1461445434 |
| ISBN-13 | 978-1-4614-4543-2 / 9781461445432 |
| Zustand | Neuware |
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