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» Compressing Kinetic Data from Sensor Networks
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DCC
2006
IEEE
15 years 11 months ago
Distributed Sampling and Compression of Scenes with Finite Rate of Innovation in Camera Sensor Networks
We study the problem of distributed sampling and compression in sensor networks when the sensors are digital cameras that acquire a 3-D visual scene of interest from different vie...
Nicolas Gehrig, Pier Luigi Dragotti
SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
15 years 12 months ago
Compressing Historical Information in Sensor Networks
We are inevitably moving into a realm where small and inexpensive wireless devices would be seamlessly embedded in the physical world and form a wireless sensor network in order t...
Antonios Deligiannakis, Yannis Kotidis, Nick Rouss...
99
Voted
BMCBI
2006
117views more  BMCBI 2006»
14 years 11 months ago
A method for estimation of elasticities in metabolic networks using steady state and dynamic metabolomics data and linlog kineti
Background: Dynamic modeling of metabolic reaction networks under in vivo conditions is a crucial step in order to obtain a better understanding of the (dis)functioning of living ...
I. Emrah Nikerel, Wouter A. van Winden, Walter M. ...
SUTC
2010
IEEE
14 years 10 months ago
Reordering for Better Compressibility: Efficient Spatial Sampling in Wireless Sensor Networks
—Compressed Sensing (CS) is a novel sampling paradigm that tries to take data-compression concepts down to the sampling layer of a sensory system. It states that discrete compres...
Mohammadreza Mahmudimanesh, Abdelmajid Khelil, Nee...
92
Voted
DCOSS
2009
Springer
15 years 4 months ago
Compressed RF Tomography for Wireless Sensor Networks: Centralized and Decentralized Approaches
Radio Frequency (RF) tomography refers to the process of inferring information about an environment by capturing and analyzing RF signals transmitted between nodes in a wireless se...
Mohammad A. Kanso, Michael G. Rabbat