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
Wireless Channel Scenario Identification Using Convolutiona..:
, In:
2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)
,
Gopal, Govind R.
;
Chen, Jie
;
Hillery, William J.
... - p. 1-5 , 2023
Link:
https://doi.org/10.1109/VTC2023-Spring57618.2023.10200..
RT T1
2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)
: T1
Wireless Channel Scenario Identification Using Convolutional Neural Networks
UL https://suche.suub.uni-bremen.de/peid=ieee-10200552&Exemplar=1&LAN=DE A1 Gopal, Govind R. A1 Chen, Jie A1 Hillery, William J. A1 Tan, Jun A1 Ozen, Serdar A1 Zhu, Qiping YR 2023 SN 2577-2465 K1 Wireless communication K1 Vehicular and wireless technologies K1 Time series analysis K1 Receivers K1 Time measurement K1 Classification algorithms K1 Frequency measurement K1 Channel classification K1 channel frequency response K1 machine learning K1 user speed SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/VTC2023-Spring57618.2023.10200552 DO https://doi.org/10.1109/VTC2023-Spring57618.2023.10200552 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)