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
Autoencoder for end-to-end learning communication system ba..:
, In:
2022 IEEE 6th Conference on Information and Communication Technology (CICT)
,
Choubey, Namrata
;
Trivedi, Aditya
;
Kushwah, Vivek Singh
- p. 1-5 , 2022
Link:
https://doi.org/10.1109/CICT56698.2022.9997900
RT T1
2022 IEEE 6th Conference on Information and Communication Technology (CICT)
: T1
Autoencoder for end-to-end learning communication system based on NOMA
UL https://suche.suub.uni-bremen.de/peid=ieee-9997900&Exemplar=1&LAN=DE A1 Choubey, Namrata A1 Trivedi, Aditya A1 Kushwah, Vivek Singh YR 2022 K1 Deep learning K1 NOMA K1 System performance K1 Source coding K1 Simulation K1 Symbols K1 Performance gain K1 wireless communication K1 deep learning K1 DNN K1 Autoencoders SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/CICT56698.2022.9997900 DO https://doi.org/10.1109/CICT56698.2022.9997900 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)