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
Emitter Recognition Method Based on Feature Fusion:
, In:
2023 35th Chinese Control and Decision Conference (CCDC)
,
Tian, Di
;
Zhang, Jing
;
Hu, Po
. - p. 4178-4183 , 2023
Link:
https://doi.org/10.1109/CCDC58219.2023.10327641
RT T1 <cTitle>2023 35th Chinese Control and Decision Conference (CCDC)</cTitle>: T1 <Title>Emitter Recognition Method Based on Feature Fusion</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10327641&Exemplar=1&LAN=DE A1 Tian, Di A1 Zhang, Jing A1 Hu, Po A1 Li, Zhongqi YR 2023 SN 1948-9447 K1 Deep learning K1 Training K1 Machine learning algorithms K1 Databases K1 Fingerprint recognition K1 Feature extraction K1 Prediction algorithms K1 Specific emitter identification K1 Feature fusion K1 Deep Neural Networks SP 4178 OP 4183 LK http://dx.doi.org/https://doi.org/10.1109/CCDC58219.2023.10327641 DO https://doi.org/10.1109/CCDC58219.2023.10327641 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
