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
Modulation Format Identification for Coherent Optical Commu..:
, In:
2022 20th International Conference on Optical Communications and Networks (ICOCN)
,
Chang, Xingle
;
Li, Zhipei
;
Zhang, Qi
... - p. 1-3 , 2022
Link:
https://doi.org/10.1109/ICOCN55511.2022.9901195
RT T1 <cTitle>2022 20th International Conference on Optical Communications and Networks (ICOCN)</cTitle>: T1 <Title>Modulation Format Identification for Coherent Optical Communication Systems Based on Long Short-Term Memory Networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9901195&Exemplar=1&LAN=DE A1 Chang, Xingle A1 Li, Zhipei A1 Zhang, Qi A1 Gao, Yuan A1 Wang, Yongjun A1 Tian, Qinghua A1 Tian, Feng A1 Xin, Xiangjun YR 2022 SN 2771-3059 K1 Training K1 Phase shift keying K1 Simulation K1 Neural networks K1 Manuals K1 Optical fiber networks K1 Feature extraction K1 Coherent Optical Communication K1 Modulation Format Identification K1 Deep Learning K1 LSTM Networks SP 1 OP 3 LK http://dx.doi.org/https://doi.org/10.1109/ICOCN55511.2022.9901195 DO https://doi.org/10.1109/ICOCN55511.2022.9901195 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
