0410385 20240103182210.520060210235959.9 0-7695-0750-6 2 Pattern Recognition and Neural Networks. Los Alamitos IEEE Computer Society 2000 4 s. 1018-1021SanfeliuA.VillanuevaJ. J.VanrellM. cav_un_auth*0101093 Haindl Michal UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. 09K GA106/00/1715 GA ČR cav_un_auth*0005263 GA102/00/0030 GA ČR cav_un_auth*0004016 AV0Z1075907 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. cav_un_auth*0212673 IAPR International Conference on Pattern Recognition /15./ Barcelona ES 03.09.2000-07.09.2000 BD RO http://hdl.handle.net/11104/0130474 UTIA-B 20000101 2000 2000 Los Alamitos IEEE Computer Society 0-7695-0750-6 Proceedings of the 15th IAPR International Conference on Pattern Recognition 1018 1021 Sanfeliu A. 340 Villanueva J. J. 340 Vanrell M. 340