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Filter theory
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#	Item
471	Identifying changing climate responses of boreal forest trees in northwestern Canada J. Barichivich1, K. Briffa1, K.J. Anchukaitis2, D. Sauchyn3, and T. Melvin1 1: Climatic Research Unit (CRU), University of East Anglia Add to Reading List Source URL: www.cru.uea.ac.uk Language: English - Date: 2012-10-29 11:13:12 Dendrology Paleoclimatology Ornamental trees Filter theory Divergence problem Taiga Picea glauca Climate Filter Physical geography Flora of the United States Biogeography
472	Statistics and Computing, 197–208 On sequential Monte Carlo sampling methods for Bayesian filtering ARNAUD DOUCET, SIMON GODSILL and CHRISTOPHE ANDRIEU Signal Processing Group, Department of Engineering, Uni Add to Reading List Source URL: www.cs.ubc.ca Language: English - Date: 2005-07-07 17:22:40 Estimation theory Control theory Electronic engineering Signal processing Particle filter Vehicle Identification Number Importance sampling Kalman filter XK Robot control Statistics Monte Carlo methods
473	Petrich, Dominik; Dang, Thao; Breuel, Gabi; Stiller, Christoph: Assessing Map-Based Maneuver Hypotheses using Probabilistic Methods and Evidence Theory. In: Proc. IEEE Int. Conf. Intelligent Transportation Systems, pp. 9 Add to Reading List Source URL: www.mrt.kit.edu Language: English - Date: 2015-02-09 03:40:49 Control theory Dempster–Shafer theory Probability theory Mathematical physics Road transport Velocity Kalman filter Intelligent driver model Kinematics Physics Mathematics Science
474	Combining analog method and ensemble data assimilation: application to the Lorenz-63 chaotic system Pierre Tandeo, Pierre Ailliot, Juan Ruiz, Alexis Hannart, Bertrand Chapron, Anne Cuzol, Val´erie Monbet, Robert Easton Add to Reading List Source URL: perso.telecom-bretagne.eu Language: English - Date: 2015-03-05 09:22:01 Cybernetics Control theory Monte Carlo methods Linear filters Robot control Kalman filter Data assimilation Chaos theory Dynamical system Statistics Estimation theory Systems theory
475	The helical coordinate Jon Claerbout For many years, it has been true that our most powerful signal-analysis techniques are in one-dimensional space, while our most important applications are in multi dimensional space. Add to Reading List Source URL: www.reproducibility.org Language: English - Date: 2015-03-25 18:21:52 Filter theory Fourier analysis Image processing Digital signal processing Convolution Causal filter Deconvolution Filter Fourier transform Mathematical analysis Signal processing Mathematics
476	C122-C148 Spin-On Filters GB.indd Add to Reading List Source URL: miningandhydraulics.com.au Language: English - Date: 2012-11-11 23:13:03 Filters Quantum field theory Signal processing filter Filtration Electronic filter Oil filter Spin Chemistry Physics Chemical engineering
477	Collaborative Development of an HFIP regional ensemble forecast system Ensemble prototype construction subgroup 18 August 2011 Summary: Add to Reading List Source URL: rammb.cira.colostate.edu Language: English - Date: 2011-10-03 18:32:53 HFIP Forecast error Ensemble Kalman filter Fuqing Electronic engineering Signal processing Estimation theory Monte Carlo methods Control theory
478	Department of Electrical and Computer Systems Engineering Technical Report MECSE Add to Reading List Source URL: www.ecse.monash.edu.au Language: English - Date: 2005-07-14 22:43:32 Electronic engineering Statistics Robot navigation Linear filters Simultaneous localization and mapping Extended Kalman filter Particle filter Occupancy grid mapping Kalman filter Robot control Estimation theory Control theory
479	ROBUST 3D LOCALIZATION AND TRACKING OF SOUND SOURCES USING BEAMFORMING AND PARTICLE FILTERING Jean-Marc Valin∗ †, Franc¸ois Michaud† and Jean Rouat† CSIRO ICT Centre, Cnr Vimiera & Pembroke Rds, Marsfield NSW 21 Add to Reading List Source URL: jmvalin.ca Language: English - Date: 2006-01-16 22:51:44 Control theory Beamforming Signal processing Sonar Markov models Kalman filter Particle filter Microphone array Microphone Robot control Statistics Electronic engineering
480	Japanese Monetary Policy Reaction Function and Time-Varying Structural Vector Autoregressions: A Monte Carlo Particle Filtering Approach ∗ Koiti Yano† Naoyuki Yoshino‡ Add to Reading List Source URL: www.fsa.go.jp Language: English - Date: 2008-02-14 02:11:11 Control theory Robot control Econometrics Time series analysis Kalman filter State observer Vector autoregression Markov chain Time series Statistics Probability and statistics Markov models

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