Linear filters

Results: 1033



#Item
551Statistics / Bayesian statistics / Estimation theory / Control theory / Linear filters / Data assimilation / Numerical weather prediction / Weather forecasting / Ensemble Kalman filter / Atmospheric sciences / Meteorology / Weather prediction

´ DU QUEBEC ´ ` MONTREAL ´ UNIVERSITE A

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Source URL: people.sca.uqam.ca

Language: English - Date: 2005-05-13 09:18:12
552Bayesian statistics / Control theory / Linear filters / Data assimilation / Ensemble Kalman filter / Variance / Covariance / Kalman filter / Standard deviation / Statistics / Estimation theory / Data analysis

Geosci. Model Dev., 7, 1451–1465, 2014 www.geosci-model-dev.net[removed]doi:[removed]gmd[removed] © Author(s[removed]CC Attribution 3.0 License. Comparison of the ensemble Kalman filter and 4D-Var assimilation

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Source URL: www.geosci-model-dev.net

Language: English - Date: 2014-12-04 03:32:20
553Linear filters / Signal processing / Electronic design / Filter theory / Network synthesis filters / Bessel filter / Electronic filter / Oversampling / Filter / Electronic engineering / Electronics / Electromagnetism

Microsoft PowerPoint - Final DCS Filter Study ReportRevC.ppt

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Source URL: dcs4.noaa.gov

Language: English - Date: 2014-10-02 14:29:20
554Linear filters / Signal processing / Electronic design / Filter theory / Network synthesis filters / Bessel filter / Electronic filter / Oversampling / Filter / Electronic engineering / Electronics / Electromagnetism

Microsoft PowerPoint - Final DCS Filter Study ReportRevC.ppt

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Source URL: dcs1.noaa.gov

Language: English - Date: 2014-10-02 14:29:20
555Linear filters / Signal processing / Electronic design / Filter theory / Network synthesis filters / Bessel filter / Electronic filter / Oversampling / Filter / Electronic engineering / Electronics / Electromagnetism

Microsoft PowerPoint - Final DCS Filter Study ReportRevC.ppt

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Source URL: dcs3.noaa.gov

Language: English - Date: 2014-10-02 14:29:20
556Bayesian statistics / Control theory / Electronic engineering / Robot control / Linear filters / Object recognition / Particle filter / Recursive Bayesian estimation / Prior probability / Estimation theory / Statistics / Signal processing

Multi-Object Detection and Pose Estimation in 3D Point Clouds: A Fast Grid-Based Bayesian Filter Rui Pimentel de Figueiredo, Plinio Moreno, Alexandre Bernardino and Jos´e Santos-Victor Institute for Systems and Robotics

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Source URL: first-mm.informatik.uni-freiburg.de

Language: English - Date: 2013-11-15 03:33:58
557Electronic engineering / Control theory / Robot control / Linear filters / Monte Carlo methods / Particle filter / Recursive Bayesian estimation / Gaussian process / Collision / Statistics / Signal processing / Estimation theory

Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals Christian Plagemann 1 Dieter Fox 2

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Source URL: www.service-robotik-initiative.de

Language: English - Date: 2007-11-05 10:06:33
558Estimation theory / Artificial intelligence / Control theory / Robot control / Occupancy grid mapping / Linear filters / Simultaneous localization and mapping / Monte Carlo localization / Particle filter / Robot navigation / Statistics / Markov models

Simultaneous Localization and Dynamic State Estimation in Reconfigurable Environments Gian Diego Tipaldi Daniel Meyer-Delius

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Source URL: www.tapas-project.eu

Language: English - Date: 2011-12-02 05:50:28
559Signal processing / Digital signal processing / Filter theory / Signal processing filter / Fourier transform / Joseph Fourier / Low-pass filter / Filter / Electronic filter / Electronic engineering / Electronics / Linear filters

ISNB[removed]0 GINTERS BUŠS FORECASTING AND SIGNAL EXTRACTION WITH REGULARISED MULTIVARIATE DIRECT FILTER APPROACH

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Source URL: www.eabcn.org

Language: English - Date: 2014-07-17 06:45:27
560Signal processing / Cybernetics / Stochastic differential equations / Linear filters / Robot control / Kalman filter / State observer / Filtering problem / Symmetry-preserving filter / Estimation theory / Statistics / Control theory

19 Filtering and State Estimation Our study of estimating parameters from observations has presumed that there are unchanging parameters to be estimated. For many (if not most) applications this is not so: not only are

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Source URL: fab.cba.mit.edu

Language: English - Date: 2014-04-29 10:51:08
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