Compressive wireless sensing

Compressive Sampling is an emerging theory that is based on the fact that a relatively small number of random projections of a signal can contain most of its salient information. In this paper, we introduce the concept of Compressive Wireless Sensing for sensor networks in which a fusion center retr...

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Vydáno v:	IPSN 2006 : the Fifth International Conference on Information Processing in Sensor Networks : April 19-21, 2006, Nashville, Tennessee, USA s. 134 - 142
Hlavní autoři:	Bajwa, Waheed, Haupt, Jarvis, Sayeed, Akbar, Nowak, Robert
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	New York, NY, USA ACM 19.04.2006 IEEE
Edice:	ACM Conferences
Témata:	Bandwidth Character recognition Computing methodologies > Modeling and simulation > Simulation theory > Systems theory Context Cost function Delay Information retrieval Information systems > Data management systems > Data structures > Data layout > Data compression Mathematics of computing > Information theory Sampling methods Security and privacy > Cryptography > Mathematical foundations of cryptography Sensor fusion Sensor phenomena and characterization Theory of computation > Computational complexity and cryptography > Communication complexity Wireless sensor networks uncoded communications compressive sampling wireless sensor networks
ISBN:	9781595933348, 1595933344
On-line přístup:	Získat plný text
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