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» Multivariate reduction in wireless sensor networks
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ICASSP
2010
IEEE
13 years 7 months ago
Particle filter adaptation for distributed sensors via set membership
A distributed set-membership-constrained particle filter (SMCPF) is developed for decentralized tracking applications using wireless sensor networks. Unlike existing PF alternati...
Shahrokh Farahmand, Stergios I. Roumeliotis, Georg...
TIT
2008
141views more  TIT 2008»
13 years 7 months ago
Dimensionality Reduction for Distributed Estimation in the Infinite Dimensional Regime
Distributed estimation of an unknown signal is a common task in sensor networks. The scenario usually envisioned consists of several nodes, each making an observation correlated wi...
Olivier Roy, Martin Vetterli
WH
2010
170views Healthcare» more  WH 2010»
13 years 2 months ago
Towards power optimized kalman filter for gait assessment using wearable sensors
Systems with wearable and wireless motion sensors have been receiving significant attention in the past few years specifically for the applications of human movement monitoring. O...
Prem Santosh Udaya Shankar, Nikhil Raveendranathan...
ICDE
2006
IEEE
201views Database» more  ICDE 2006»
14 years 8 months ago
Approximate Data Collection in Sensor Networks using Probabilistic Models
Wireless sensor networks are proving to be useful in a variety of settings. A core challenge in these networks is to minimize energy consumption. Prior database research has propo...
David Chu, Amol Deshpande, Joseph M. Hellerstein, ...
TSP
2012
12 years 3 months ago
Distributed Covariance Estimation in Gaussian Graphical Models
—We consider distributed estimation of the inverse covariance matrix in Gaussian graphical models. These models factorize the multivariate distribution and allow for efficient d...
Ami Wiesel, Alfred O. Hero