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» Exploiting heterogeneity in sensor networks
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ICASSP
2010
IEEE
14 years 9 months ago
Texas Hold 'Em algorithms for distributed compressive sensing
This paper develops a new class of algorithms for signal recovery in the distributed compressive sensing (DCS) framework. DCS exploits both intra-signal and inter-signal correlati...
Stephen R. Schnelle, Jason N. Laska, Chinmay Hegde...
ICASSP
2011
IEEE
14 years 1 months ago
Gaussian mixture modeling for source localization
Exploiting prior knowledge, we use Bayesian estimation to localize a source heard by a fixed sensor network. The method has two main aspects: Firstly, the probability density fun...
John T. Flåm, Joakim Jalden, Saikat Chatterj...
CORR
2012
Springer
182views Education» more  CORR 2012»
13 years 5 months ago
Organizing the Aggregate: Languages for Spatial Computing
As the number of computing devices embedded into engineered systems continues to rise, there is a widening gap between the needs of the user to control aggregates of devices and t...
Jacob Beal, Stefan Dulman, Kyle Usbeck, Mirko Viro...
TMA
2012
Springer
254views Management» more  TMA 2012»
13 years 5 months ago
Steps towards the Extraction of Vehicular Mobility Patterns from 3G Signaling Data
Abstract. The signaling traffic of a cellular network is rich of information related to the movements of its devices across cell boundaries. Thus, passive monitoring of anonymized ...
Pierdomenico Fiadino, Danilo Valerio, Fabio Riccia...
CDC
2009
IEEE
186views Control Systems» more  CDC 2009»
15 years 1 months ago
Distributed function and time delay estimation using nonparametric techniques
In this paper we analyze the problem of estimating a function from different noisy data sets collected by spatially distributed sensors and subject to unknown temporal shifts. We p...
Damiano Varagnolo, Gianluigi Pillonetto, Luca Sche...