Cognitive Networked Sensing and Big Data

AvRobert Qiu,Michael Wicks

Inbunden, Engelska, 2013

1 603 kr

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Häftad

1 603 kr

Beskrivning

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.

Produktinformation

Utgivningsdatum:2013-08-05
Mått:155 x 235 x 38 mm
Vikt:1 115 g
Format:Inbunden
Språk:Engelska
Antal sidor:614
Upplaga:2014
Förlag:Springer-Verlag New York Inc.
ISBN:9781461445432

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Mer om författaren

Dr. Qiu is a Professor in the Department of Electrical and Computer Engineering, Center for Manufacturing Research, Tennessee Technological University, Cookeville, Tennessee

Recensioner i media

From the book reviews: "The book deals with big data which is connected with high-dimensional statistics, smart grid, cognitive networked sensing, cognitive radio networks with interface to a cognitive radar. ... The book is an excellent contribution to large data analysis and communication, distributed computing, radio, and radar sciences. The book may be used at graduate and postgraduate levels in electrical engineering and computer science." (Nirode C. Mohanty, zbMATH, Vol. 1291, 2014)

Innehållsförteckning

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.