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
On the Design Principles for Deep Learning-based Wireless D..:
, In:
2022 13th International Conference on Information and Communication Technology Convergence (ICTC)
,
Ahn, Yongjun
;
Kim, Jinhong
;
Shim, Byonghyo
- p. 1216-1218 , 2022
Link:
https://doi.org/10.1109/ICTC55196.2022.9952502
RT T1
2022 13th International Conference on Information and Communication Technology Convergence (ICTC)
: T1
On the Design Principles for Deep Learning-based Wireless Data Collection and Channel Estimation
UL https://suche.suub.uni-bremen.de/peid=ieee-9952502&Exemplar=1&LAN=DE A1 Ahn, Yongjun A1 Kim, Jinhong A1 Shim, Byonghyo YR 2022 SN 2162-1241 K1 Wireless communication K1 Deep learning K1 Neural networks K1 Channel estimation K1 Training data K1 Data collection K1 Generative adversarial networks SP 1216 OP 1218 LK http://dx.doi.org/https://doi.org/10.1109/ICTC55196.2022.9952502 DO https://doi.org/10.1109/ICTC55196.2022.9952502 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)