1![Constraining regional-scale CO2 fluxes using a coupled meteorological–carbon ensemble Kalman filter Hans W. Chen, Fuqing Zhang, Thomas Lauvaux, Richard B. Alley, and Kenneth J. Davis Constraining regional-scale CO2 fluxes using a coupled meteorological–carbon ensemble Kalman filter Hans W. Chen, Fuqing Zhang, Thomas Lauvaux, Richard B. Alley, and Kenneth J. Davis](https://www.pdfsearch.io/img/98bc16eefad4942c9619db5de6580c2d.jpg) | Add to Reading ListSource URL: web.meteo.mcgill.caLanguage: English - Date: 2018-05-14 15:00:07
|
---|
2![Tina Memo NoInternal. Tutorial: The Likelihood Interpretation of the Kalman Filter. N.A.Thacker, A.J.Lacey. Tina Memo NoInternal. Tutorial: The Likelihood Interpretation of the Kalman Filter. N.A.Thacker, A.J.Lacey.](https://www.pdfsearch.io/img/e9987eae789861cf47d1ccfd6a01e4b9.jpg) | Add to Reading ListSource URL: www.tina-vision.netLanguage: English - Date: 2018-08-17 20:09:01
|
---|
3![High-rank Ensemble Transform Kalman Filter (HETKF) Bo Huang and Xuguang Wang Multi-scale data Assimilation and Predictability (MAP) Laboratory School of Meteorology, University of Oklahoma, Norman, OK High-rank Ensemble Transform Kalman Filter (HETKF) Bo Huang and Xuguang Wang Multi-scale data Assimilation and Predictability (MAP) Laboratory School of Meteorology, University of Oklahoma, Norman, OK](https://www.pdfsearch.io/img/5d0fa0cb85374469db083ca070d15c3f.jpg) | Add to Reading ListSource URL: web.meteo.mcgill.caLanguage: English |
---|
4![A Stabilized Dual Kalman Filter for Adaptive Tracking of Brain-Computer Interface Decoding Parameters A Stabilized Dual Kalman Filter for Adaptive Tracking of Brain-Computer Interface Decoding Parameters](https://www.pdfsearch.io/img/63e6303bb459eccff123f7155bb5806c.jpg) | Add to Reading ListSource URL: www.cnbc.cmu.eduLanguage: English - Date: 2016-06-12 15:01:05
|
---|
5![Progress toward estimating surface carbon dioxide fluxes at the regional scale using an augmented Ensemble Kalman Filter 1,2 Hans W. Chen Progress toward estimating surface carbon dioxide fluxes at the regional scale using an augmented Ensemble Kalman Filter 1,2 Hans W. Chen](https://www.pdfsearch.io/img/78517a0e8e19b90c2dcfa102907b984d.jpg) | Add to Reading ListSource URL: www.adapt.psu.eduLanguage: English - Date: 2018-02-02 10:43:47
|
---|
6![The Kalman filterThe Kalman filter • Linear dynamical systems with sensor noise • Estimating the initial state • Lyapunov recursion The Kalman filterThe Kalman filter • Linear dynamical systems with sensor noise • Estimating the initial state • Lyapunov recursion](https://www.pdfsearch.io/img/4fcba04ceef741d084a4b5582cff1527.jpg) | Add to Reading ListSource URL: engr207b.stanford.eduLanguage: English - Date: 2016-01-05 19:22:00
|
---|
7![Distributed Kalman Filtering With Reduced Transmission Rate Katharina Dormann, Benjamin Noack, and Uwe D. Hanebeck Abstract— The centralized Kalman filter can be implemented in such a way that the required calculations Distributed Kalman Filtering With Reduced Transmission Rate Katharina Dormann, Benjamin Noack, and Uwe D. Hanebeck Abstract— The centralized Kalman filter can be implemented in such a way that the required calculations](https://www.pdfsearch.io/img/b705537ec7984288fcca45d5b1969caf.jpg) | Add to Reading ListSource URL: isas.uka.deLanguage: English - Date: 2017-11-22 07:20:53
|
---|
8![HFIP Publications 2015 Journals and Periodicals Aberson, S. D., A. Aksoy, K. J. Sellwood, T. Vukicevic, and X. Zhang, 2015: Assimilation of high-resolution tropical cyclone observations with an ensemble Kalman filter usi HFIP Publications 2015 Journals and Periodicals Aberson, S. D., A. Aksoy, K. J. Sellwood, T. Vukicevic, and X. Zhang, 2015: Assimilation of high-resolution tropical cyclone observations with an ensemble Kalman filter usi](https://www.pdfsearch.io/img/bf70e76791271e86dceab1ddec38719e.jpg) | Add to Reading ListSource URL: www.hfip.orgLanguage: English - Date: 2016-06-03 02:23:10
|
---|
9![Christiano FINC 520, Spring 2007 Homework 5, due Wednesday, May 10. The first two questions in this three-part homework have two purposes: to show you the power of the Kalman filter techniques we have talked about and to Christiano FINC 520, Spring 2007 Homework 5, due Wednesday, May 10. The first two questions in this three-part homework have two purposes: to show you the power of the Kalman filter techniques we have talked about and to](https://www.pdfsearch.io/img/4f3f183ad1ad08a099fb80b07e283cdf.jpg) | Add to Reading ListSource URL: faculty.wcas.northwestern.edu- Date: 2007-05-03 14:25:49
|
---|
10![Ensemble Kalman Filter Based Data Assimilation in Wave Models Paula Etala Naval Hydrographi
Servi
e Ensemble Kalman Filter Based Data Assimilation in Wave Models Paula Etala Naval Hydrographi
Servi
e](https://www.pdfsearch.io/img/b3d68d839f27243bd699cb7d89cdb5d3.jpg) | Add to Reading ListSource URL: www.waveworkshop.org- Date: 2013-10-30 07:57:36
|
---|