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» Parameter Estimation Using Kalman Filters with Constraints
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IEAAIE
1998
Springer
13 years 11 months ago
State Estimation for Nonlinear Systems Using Restricted Genetic Optimization
Abstract. In this paper we describe a new nonlinear estimator for filtering systems with nonlinear process and observation models, based on the optimization with RGO (Restricted Ge...
Santiago Garrido, Luis Moreno, Carlos Balaguer
IPSN
2004
Springer
14 years 1 days ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
AMC
2007
93views more  AMC 2007»
13 years 6 months ago
Radar network scanning coordination based on ensemble transform Kalman filtering variance optimization
In this work the variance of the error of analyzed wind fields obtained from an ensemble Kalman filter is used as a criterion with which to optimize radar network scanning strat...
Luther White, Alan Shapiro
MVA
2002
188views Computer Vision» more  MVA 2002»
13 years 6 months ago
Adaptive Background Estimation for Object Tracking
2 Adaptive Background Model Tracking people has received considerable attention by computer vision researchers. Interest is motivated by the broad range of potential applications s...
Ryunosuke Itoh, Yoshio Iwai, Masahiko Yachida
ICPR
2008
IEEE
14 years 7 months ago
Extended Kalman filtering approach to stereo video stabilization
Processing of stereo images has become more and more important in recent years because of the availability of various stereo displaying devices. In particular, stabilizing of ster...
Kai Ki Lee, Kin-hong Wong, Man Kin Leung, Michael ...