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
Sparse DOA Estimation Based on a Deep Unfolded Network for ..:
, In:
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
,
Tang, Haoyang
;
Zhang, Yongchao
;
Luo, Jiawei
... - p. 5547-5550 , 2023
Link:
https://doi.org/10.1109/IGARSS52108.2023.10282811
RT T1 <cTitle>IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Sparse DOA Estimation Based on a Deep Unfolded Network for MIMO Radar</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10282811&Exemplar=1&LAN=DE A1 Tang, Haoyang A1 Zhang, Yongchao A1 Luo, Jiawei A1 Zhang, Yin A1 Huang, Yulin A1 Yang, Jianyu YR 2023 SN 2153-7003 K1 Deep learning K1 Direction-of-arrival estimation K1 MIMO radar K1 Simulation K1 Noise reduction K1 Neural networks K1 Estimation K1 sparse linear inverse problem K1 DOA K1 MIMO K1 ISTA K1 unfolded network K1 deep learning SP 5547 OP 5550 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS52108.2023.10282811 DO https://doi.org/10.1109/IGARSS52108.2023.10282811 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
