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
An impulsive noise mitigation method based on all subcarrie..:
, In:
2022 2nd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI)
,
Jin, Zengyuan
;
Zhang, Xiaoying
;
Tan, Siyuan
.. - p. 365-369 , 2022
Link:
https://doi.org/10.1109/CEI57409.2022.9950118
RT T1
2022 2nd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI)
: T1
An impulsive noise mitigation method based on all subcarriers assisted gaussian generalized approximate message passing
UL https://suche.suub.uni-bremen.de/peid=ieee-9950118&Exemplar=1&LAN=DE A1 Jin, Zengyuan A1 Zhang, Xiaoying A1 Tan, Siyuan A1 Xiong, Jun A1 Wei, Jibo YR 2022 K1 OFDM K1 Simulation K1 Message passing K1 Estimation K1 Symbols K1 Mean square error methods K1 Approximation algorithms K1 Impulsive noise mitigation K1 orthogonal frequency division multiplexing K1 gaussian generalized approximate message passing K1 sparse Bayesian learning SP 365 OP 369 LK http://dx.doi.org/https://doi.org/10.1109/CEI57409.2022.9950118 DO https://doi.org/10.1109/CEI57409.2022.9950118 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)