Data assimilation using kalman filter techniques

Kalman filtering represents a powerful framework for solving data assimilation problems. Of interest here are the low-rank filters which are computationally efficient to solve large scale data assimilation problems. The low-rank filters are either based on factorization of the covariance matrix (R...

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Bibliographic Details
Date:2006
Main Authors: Dimitriu, G., Cuciureanu, R.
Format: Article
Language:English
Published: Інститут програмних систем НАН України 2006
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Online Access:https://nasplib.isofts.kiev.ua/handle/123456789/1581
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Journal Title:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Cite this:Data assimilation using kalman filter techniques / G. Dimitriu, R. Cuciureanu // Проблеми програмування. — 2006. — N 2-3. — С. 688-693. — Бібліогр.: 5 назв. — англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine