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
Variable Code Size Autoencoder (VCSA) Meets CSI Compression..:
, In:
2024 International Conference on Computing, Networking and Communications (ICNC)
,
Song, Yifei
;
Roa, Juan
;
Zhao, Renjian
... - p. 209-214 , 2024
Link:
https://doi.org/10.1109/ICNC59896.2024.10556024
RT T1
2024 International Conference on Computing, Networking and Communications (ICNC)
: T1
Variable Code Size Autoencoder (VCSA) Meets CSI Compression in Model Generalization
UL https://suche.suub.uni-bremen.de/peid=ieee-10556024&Exemplar=1&LAN=DE A1 Song, Yifei A1 Roa, Juan A1 Zhao, Renjian A1 Rong, Zhigang A1 Xiao, Weimin A1 Jalali, Jalal A1 Sheen, Baoling YR 2024 SN 2473-7585 K1 Training K1 Deep learning K1 Codes K1 Quantization (signal) K1 5G mobile communication K1 Computational modeling K1 Computer architecture K1 CSI Compression K1 3rd Generation Partnership Project (3GPP) K1 Model Generalization K1 Autoencoder (AE) K1 Deep Learning (DL) K1 MIMO SP 209 OP 214 LK http://dx.doi.org/https://doi.org/10.1109/ICNC59896.2024.10556024 DO https://doi.org/10.1109/ICNC59896.2024.10556024 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)