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» Distributed Kalman filtering based on quantized innovations
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JSAC
2008
143views more  JSAC 2008»
13 years 5 months ago
Distributed Kalman filtering based on consensus strategies
In this paper, we consider the problem of estimating the state of a dynamical system from distributed noisy measurements. Each agent constructs a local estimate based on its own m...
Ruggero Carli, Alessandro Chiuso, Luca Schenato, S...
INFORMATICALT
2002
116views more  INFORMATICALT 2002»
13 years 5 months ago
On the Optimization of an Adaptive State Estimation of Dynamic Systems in the Presence of Time-varying Outliers
The problem of recursive estimation of a state of dynamic systems in the presence of time-varying outliers in observations to be processed has been considered. A learning phase use...
Rimantas Pupeikis
ICASSP
2011
IEEE
12 years 9 months ago
Variational Bayesian Kalman filtering in dynamical tomography
The problem of dynamical tomography consists in reconstructing a temporal sequence of images from their noisy projections. For this purpose, a recursive algorithm is usually used,...
Boujemaa Ait-El-Fquih, Thomas Rodet
ICASSP
2011
IEEE
12 years 9 months ago
Convergence results in distributed Kalman filtering
Abstract—The paper studies the convergence properties of the estimation error processes in distributed Kalman filtering for potentially unstable linear dynamical systems. In par...
Soummya Kar, Shuguang Cui, H. Vincent Poor, Jos&ea...
ICIAR
2005
Springer
13 years 11 months ago
A Novel Tracking Framework Using Kalman Filtering and Elastic Matching
A novel region-based multiple object tracking framework based on Kalman filtering and elastic matching is proposed. The proposed Kalman filtering-elastic matching model is genera...
Xingzhi Luo, Suchendra M. Bhandarkar