I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Improving Particle Filter with Better Proposal Distribution..:
, In:
2023 IEEE 11th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)
,
Qiang, Xingzi
;
Lyu, Zhiqiang
;
Li, Weiguo
. - p. 1017-1020 , 2023
Link:
https://doi.org/10.1109/ITAIC58329.2023.10408750
RT T1 <cTitle>2023 IEEE 11th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)</cTitle>: T1 <Title>Improving Particle Filter with Better Proposal Distribution base on selection resampling*</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10408750&Exemplar=1&LAN=DE A1 Qiang, Xingzi A1 Lyu, Zhiqiang A1 Li, Weiguo A1 Ve, Hong YR 2023 SN 2693-2865 K1 Filtering algorithms K1 Information filters K1 Approximation algorithms K1 Numerical simulation K1 Particle filters K1 Proposals K1 State estimation K1 nonlinear filtering K1 state estimation K1 particle filtering K1 rejection sampling K1 Bayesian estimation SP 1017 OP 1020 LK http://dx.doi.org/https://doi.org/10.1109/ITAIC58329.2023.10408750 DO https://doi.org/10.1109/ITAIC58329.2023.10408750 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
