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Recursive square-root filters

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    0410385 - UTIA-B 20000101 RIV US eng C - Conference Paper (international conference)
    Haindl, Michal
    Recursive square-root filters.
    Los Alamitos: IEEE Computer Society, 2000. ISBN 0-7695-0750-6. In: Proceedings of the 15th IAPR International Conference on Pattern Recognition. - (Sanfeliu, A.; Villanueva, J.; Vanrell, M.), s. 1018-1021
    [IAPR International Conference on Pattern Recognition /15./. Barcelona (ES), 03.09.2000-07.09.2000]
    R&D Projects: GA ČR GA106/00/1715; GA ČR GA102/00/0030
    Institutional research plan: AV0Z1075907
    Subject RIV: BD - Theory of Information

    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.
    Permanent Link: http://hdl.handle.net/11104/0130474

     
     

Number of the records: 1