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
Distributed weighted fusion robust white noise deconvolutio..:
, In:
2019 Chinese Control Conference (CCC)
,
Liu, Wenqiang
;
Fan, Yajing
;
Tao, Guili
. - p. 3589-3596 , 2019
Link:
https://doi.org/10.23919/ChiCC.2019.8865140
RT T1
2019 Chinese Control Conference (CCC)
: T1
Distributed weighted fusion robust white noise deconvolution estimators for multisensor systems with mixed uncertainties
UL https://suche.suub.uni-bremen.de/peid=ieee-8865140&Exemplar=1&LAN=DE A1 Liu, Wenqiang A1 Fan, Yajing A1 Tao, Guili A1 Zhang, Guiqiang YR 2019 SN 1934-1768 K1 scalars-weighted fusion K1 minimax robust estimation K1 white noise deconvolution estimators K1 multiplicative noises K1 missing measurements K1 uncertain noise variances SP 3589 OP 3596 LK http://dx.doi.org/https://doi.org/10.23919/ChiCC.2019.8865140 DO https://doi.org/10.23919/ChiCC.2019.8865140 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)