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Inverse filter
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#	Item
21	ASSIMILATING GLOBALBEDO DATA INTO THE JULES LAND SURFACE MODEL Tristan Quaife ECMWF 17th September 2014 Add to Reading List Source URL: www.ecmwf.int Language: English - Date: 2014-09-24 08:23:34 Control theory Bayesian statistics Robot control Data assimilation Particle filter Resampling Ensemble Kalman filter Kalman filter Inverse problem Statistics Monte Carlo methods Estimation theory
22	Quantifying the Impact of Data and Model Errors in DDDAS* Adrian Sandu Vishwas Hebbur Venkata Rao (with other students and postdocs of the Add to Reading List Source URL: www.dddas.org Language: English - Date: 2013-06-06 05:49:46 Systems theory Estimation theory Bayesian statistics Data assimilation Statistical forecasting Weather prediction Inverse problem Kalman filter Control theory Statistics Cybernetics
23	Microsoft PowerPoint - willcox Add to Reading List Source URL: www.dddas.org Language: English - Date: 2007-10-04 15:35:18 Kalman filter Robot control Systems science Inverse problem System Mathematical optimization Cybernetics Science Control theory
24	SOLVING THE INVERSE PROBLEM OF ELECTROCARDIOGRAPHY USING A DUNCAN AND HORN FORMULATION OF THE KALMAN FILTER Keith L. Berrier, Danny C. Sorensen, and Dirar S. Khoury,* Member, IEEE Submitted: Add to Reading List Source URL: www.caam.rice.edu Language: English - Date: 2003-03-28 13:19:26 Linear algebra Regression analysis Numerical linear algebra Estimation theory Linear filters Tikhonov regularization Kalman filter Inverse problem Regularization Algebra Mathematics Mathematical analysis
25	IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING 1 Glottal Spectral Separation for Speech Synthesis Jo˜ao P. Cabral, Korin Richmond, Member, IEEE, Junichi Yamagishi, Member, IEEE, Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2014-06-05 18:27:07 Computational linguistics Electronic musical instruments Speech synthesis Audio codecs Vocoder Linear predictive coding Inverse filter Synthesizer Spectral density Sound Signal processing Waves
26	FEBRUARY[removed]SRAJ ET AL. 933 Add to Reading List Source URL: www.aoml.noaa.gov Language: English - Date: 2014-08-20 13:30:08 Monte Carlo methods Operations research Statistical forecasting Markov chain Monte Carlo Mathematical optimization Inverse problem Ensemble Kalman filter Data assimilation Optimal design Statistics Bayesian statistics Estimation theory
27	Inverse Modeling to Estimate Seasonal Ammonia Emissions Alice B. Gilliland, Thomas E. Pierce, Robin L. Dennis, and Shawn Roselle Atmospheric Modeling Division, ORD, USEPA, Research Triangle Park, North Carolina On a Add to Reading List Source URL: www.epa.gov Language: English* - Date: 2007-05-02 12:30:18 Linear filters Markov models Air pollution Kalman filter Ammonia Particulates Pollution Chemistry Atmosphere
28	Visual Representations of Covariance for the Inverse Ocean Modeling Framework M. Pauline Baker Visualization and Interactive Spaces Lab, Pervasive Tech Labs at Indiana University, Indiana University-Purdue University Ind Add to Reading List Source URL: vis.iu.edu Language: English - Date: 2008-02-01 14:22:49 Algebra of random variables Control theory Multivariate statistics Covariance Principal component analysis Variance Data assimilation Kalman filter Covariance function Statistics Covariance and correlation Data analysis
29	PDF Document Add to Reading List Source URL: old.ecmwf.int Language: English - Date: 2013-07-04 13:53:15 Bayesian statistics Linear filters Regression analysis Data assimilation Kalman filter Nonlinear system Normal distribution Errors and residuals in statistics Inverse problem Statistics Estimation theory Control theory
30	PDF Document Add to Reading List Source URL: old.ecmwf.int Language: English - Date: 2013-11-05 10:16:58 Estimation theory Bayesian statistics Linear filters Data assimilation Kalman filter Normal distribution Errors and residuals in statistics Mathematical model Inverse problem Statistics Control theory Regression analysis

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