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Recursive square-root filters
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SYSNO ASEP 0410385 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Recursive square-root filters Author(s) Haindl, Michal (UTIA-B) RID, ORCID Issue data Los Alamitos: IEEE Computer Society, 2000 ISBN 0-7695-0750-6 Source Title Proceedings of the 15th IAPR International Conference on Pattern Recognition / Sanfeliu A. ; Villanueva J. J. ; Vanrell M. Pages s. 1018-1021 Number of pages 4 s. Action IAPR International Conference on Pattern Recognition /15./ Event date 03.09.2000-07.09.2000 VEvent location Barcelona Country ES - Spain Language eng - English Country US - United States Subject RIV BD - Theory of Information R&D Projects GA106/00/1715 GA ČR - Czech Science Foundation (CSF) GA102/00/0030 GA ČR - Czech Science Foundation (CSF) CEZ 1075907 Annotation This paper presents a derivation of recursive square-root filters, which can update either a symmetric positive data gathering matrix or its inversion. These filters differ from usual recursive approaches by their ability not only to supply new data to these matrices but also to simultaneously remove data previously fed to these matrices during their build-up. A condition for stable data removal is proven. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Number of the records: 1