Cognitive Networked Sensing and Big Data
Published on 23. August 2015
Book
Paperback/Softback
XXIII, 614 pages
978-1-4899-9726-5 (ISBN)
Description
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.
Reviews / Votes
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)More details
Edition
Softcover reprint of the original 1st ed. 2014
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Illustrations
1 s/w Abbildung, 16 farbige Abbildungen
XXIII, 614 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 35 mm
Weight
955 gr
ISBN-13
978-1-4899-9726-5 (9781489997265)
DOI
10.1007/978-1-4614-4544-9
Schweitzer Classification
Other editions
Additional editions
Book
08/2013
1st Edition
Springer
€160.49
Shipment within 15-20 days
Persons
Dr. Qiu is a Professor in the Department of Electrical and Computer Engineering, Center for Manufacturing
Research, Tennessee Technological University, Cookeville, Tennessee
Research, Tennessee Technological University, Cookeville, Tennessee
Content
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.