bibtype C - Conference Paper (international conference)
ARLID 0410385
utime 20240103182210.5
mtime 20060210235959.9
ISBN 0-7695-0750-6
title (primary) (eng) Recursive square-root filters
part_num 2
part_title Pattern Recognition and Neural Networks.
publisher
place Los Alamitos
name IEEE Computer Society
pub_time 2000
specification
page_count 4 s.
serial
title Proceedings of the 15th IAPR International Conference on Pattern Recognition
page_num 1018-1021
editor
name1 Sanfeliu
name2 A.
editor
name1 Villanueva
name2 J. J.
editor
name1 Vanrell
name2 M.
author (primary)
ARLID cav_un_auth*0101093
name1 Haindl
name2 Michal
institution UTIA-B
full_dept Department of Pattern Recognition
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
COSATI 09K
cas_special
project
project_id GA106/00/1715
agency GA ČR
ARLID cav_un_auth*0005263
project
project_id GA102/00/0030
agency GA ČR
ARLID cav_un_auth*0004016
research AV0Z1075907
abstract (eng) 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.
action
ARLID cav_un_auth*0212673
name IAPR International Conference on Pattern Recognition /15./
place Barcelona
country ES
dates 03.09.2000-07.09.2000
RIV BD
department RO
permalink http://hdl.handle.net/11104/0130474
ID_orig UTIA-B 20000101
arlyear 2000
mrcbU10 2000
mrcbU10 Los Alamitos IEEE Computer Society
mrcbU12 0-7695-0750-6
mrcbU63 Proceedings of the 15th IAPR International Conference on Pattern Recognition 1018 1021
mrcbU67 Sanfeliu A. 340
mrcbU67 Villanueva J. J. 340
mrcbU67 Vanrell M. 340