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Recursive square-root filters

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