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Kalman filter
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#	Item
261	Matrix Computational Assumptions in Multilinear Groups Paz Morillo1 , Carla R`afols2 , and Jorge L. Villar1? 1 2 Add to Reading List Source URL: eprint.iacr.org Language: English - Date: 2015-04-20 07:04:42 Computational hardness assumptions Finite fields Decisional Diffie–Hellman assumption Diffie–Hellman problem Vector space Matrix Kalman filter Principal component analysis Algebra Mathematics Cryptography
262	C:/Users/Jur van den Berg/Documents/papers/RSS10 - NeedleSteering/jur-planningcontrol.dvi Add to Reading List Source URL: www.ieor.berkeley.edu Language: English - Date: 2011-01-03 19:54:12 Stochastic control Robot control Optimal control Linear-quadratic-Gaussian control Motion planning Kalman filter Robotics Robot Discretization Control theory Systems theory Cybernetics
263	Introduction to WRFDA Hans Huang WRFDA is a Data Assimilation system built within the WRF software framework, used for application in both research and operational environments…. Add to Reading List Source URL: www2.mmm.ucar.edu Language: English - Date: 2013-02-04 17:42:02 Bayesian statistics Estimation theory Control theory Weather prediction Statistical forecasting Data assimilation National Center for Atmospheric Research Ensemble Kalman filter Kalman filter Atmospheric sciences Meteorology Statistics
264	Weak sense Lp error bounds for leader–node distributed particle filters Boris N. Oreshkin and Mark Coates Department of Electrical and Computer Engineering McGill University Montreal, Canada Add to Reading List Source URL: www.tsp.ece.mcgill.ca Language: English - Date: 2008-04-18 15:33:02 Control theory Electronic engineering Monte Carlo methods Linear filters Signal processing Particle filter Kalman filter Approximation algorithm Robot control Statistics Estimation theory
265	The Twentieth Century Reanalysis Project Add to Reading List Source URL: www.c3.urv.cat Language: English - Date: 2013-04-10 07:49:13 Statistical forecasting Linear filters Bayesian statistics Estimation theory Data assimilation Ensemble Kalman filter ERA-40 European Centre for Medium-Range Weather Forecasts Kalman filter Atmospheric sciences Meteorology Weather prediction
266	Adapting Navigation Strategies Using Motions Patterns of People Maren Bennewitz and Wolfram Burgard Department of Computer Science University of Freiburg, Germany Abstract— As people move through their environments, Add to Reading List Source URL: hrl.informatik.uni-freiburg.de Language: English - Date: 2003-12-15 05:10:20 Science Motion planning Theoretical computer science Robotics Robot Wolfram Burgard Kalman filter Mobile robot Sebastian Thrun Artificial intelligence Cybernetics Robot control
267	SOLA, 2007, Vol. 3, , doi:solaApplication of the Ensemble Kalman Filter and Smoother to a Coupled Atmosphere-ocean Model Add to Reading List Source URL: daweb.ism.ac.jp Language: English - Date: 2007-01-30 22:02:51 Estimation theory Physical oceanography Linear filters Robot control Control theory Kalman filter Anomaly Sea surface height Atmospheric model Atmospheric sciences Meteorology Statistics
268	Sequential Monte Carlo for Simultaneous Passive Device-Free Tracking and Sensor Localization Using Received Signal Strength Measurements Xi Chen Andrea Edelstein Add to Reading List Source URL: www.tsp.ece.mcgill.ca Language: English Control theory Robot control Computational statistics Monte Carlo methods Linear filters Kalman filter Particle filter Expectation–maximization algorithm Auxiliary particle filter Statistics Technology Estimation theory
269	Ensemble-based data assimilation for stratospheric chemistry S. Skachko, Q. Errera, S. Chabrillat, Y. Christophe BIRA, Ringlaan 3, 1180 Brussels, Belgium Chemical transport models (CTM) are broadly used to forecast chemi Add to Reading List Source URL: ee.nmt.edu Language: English - Date: 2012-04-29 18:24:27 Bayesian statistics Estimation theory Control theory Linear filters Environmental chemistry Data assimilation Ensemble Kalman filter Chemical transport model Kalman filter Atmospheric sciences Meteorology Statistics
270	doi: j.1365-246Xx A new approach to time-dependent inversion of geodetic data using a Monte Carlo mixture Kalman filter Jun’ichi Fukuda,1 Tomoyuki Higuchi,2 Shin’ichi Miyazaki1 and Teruyuki Kato1 Add to Reading List Source URL: tswww.ism.ac.jp Language: English - Date: 2004-09-16 20:37:56 Control theory Stochastic differential equations Kalman filter Robot control Q Normal distribution Markov chain Linear model Fixed effects model Statistics Markov models Regression analysis

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