bibtype C - Conference Paper (international conference)
ARLID 0363163
utime 20240103195438.6
mtime 20110913235959.9
title (primary) (eng) Non-Parametric Bayesian Measurement Noise Density Estimation in Non-Linear Filtering
specification
page_count 4 s.
media_type www
serial
ARLID cav_un_epca*0363842
ISBN 978-1-4577-0539-7
title Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing 2011
page_num 5924-5927
publisher
place Piscataway
name IEEE
year 2011
keyword Particle filtering
keyword Dirichlet process
keyword Bayesian Estimation
author (primary)
ARLID cav_un_auth*0264145
name1 Okzan
name2 E.
country SE
author
ARLID cav_un_auth*0264144
name1 Saha
name2 S.
country SE
author
ARLID cav_un_auth*0264146
name1 Gustafsson
name2 F.
country SE
author
ARLID cav_un_auth*0101207
name1 Šmídl
name2 Václav
full_dept (cz) Adaptivní systémy
full_dept Department of Adaptive Systems
department (cz) AS
department AS
institution UTIA-B
full_dept Department of Adaptive Systems
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2011/AS/smidl-non-parametric bayesian measurement noise density estimation in non-linear filtering.pdf
cas_special
research CEZ:AV0Z10750506
abstract (eng) In this study, we investigate online Bayesian estimation of the measurement noise density of a given state space model using particle filters and Dirichlet process mixtures. Dirichlet processes are widely used in statistics for nonparametric density estimation. In the proposed method, the unknown noise is modeled as a Gaussian mixture with unknown number of components. The joint estimation of the state and the noise density is done via particle filters. Furthermore, the number of components and the noise statistics are allowed to vary in time. An extension of the method for the estimation of time varying noise characteristics is also introduced.
action
ARLID cav_un_auth*0273976
name IEEE International Conference on Acoustics, Speech and Signal Processing
place Praha
dates 22.05.2011-27.05.2011
country CZ
reportyear 2012
RIV BD
permalink http://hdl.handle.net/11104/0199219
arlyear 2011
mrcbU63 cav_un_epca*0363842 Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing 2011 978-1-4577-0539-7 5924 5927 Piscataway IEEE 2011