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Nonlinear filtering with particle filters
2014Convective phenomena in the atmosphere, such as convective storms, are characterized by very fast, intermittent and seemingly stochastic processes. They are thus difficult to predict with Numerical Weather Prediction (NWP) models, and difficult to estimate with data assimilation methods that combine prediction and observations.
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Comparison of Particle Filter and Extended Kalman Particle Filter
2017W pracy zostały zaprezentowane trzy algorytmy estymacji – rozszerzony filtr Kalmana, filtr cząsteczkowy (algorytm Bootstrap) i rozszerzony cząsteczkowy filtr Kalmana. Algorytmy filtru cząsteczkowego i rozszerzonego cząsteczkowego filtru Kalmana zostały porównane dla różnej liczby cząsteczek, a wyniki zestawione z wynikami działania rozszerzonego filtru
Michalski, Jacek +2 more
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A new sampling method in particle filter based on Pearson correlation coefficient
Neurocomputing, 2016Zhihong Deng +2 more
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Intelligent Particle Filter and Its Application on Fault Detection of Nonlinear System
IEEE Transactions on Industrial Electronics, 2015Shen Yin, Xiangping Zhu
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A box-particle implementation of standard PHD filter for extended target tracking
Information Fusion, 2017Yongquan Zhang, Hongbing Ji
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CamShift guided particle filter for visual tracking
Pattern Recognition Letters, 2009Zhaowen Wang +2 more
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