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
A Sparse Bayesian Learning Method of Joint Activity Detecti..:
, In:
2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
,
Xu, Chong
;
Liu, Feng
;
Yang, Junyi
.. - p. 391-395 , 2023
Link:
https://doi.org/10.1109/SPAWC53906.2023.10304503
RT T1
2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
: T1
A Sparse Bayesian Learning Method of Joint Activity Detection and Channel Estimation for LEO Grant-Free Random Access
UL https://suche.suub.uni-bremen.de/peid=ieee-10304503&Exemplar=1&LAN=DE A1 Xu, Chong A1 Liu, Feng A1 Yang, Junyi A1 Xiao, Zhenyu A1 Han, Zhu YR 2023 SN 1948-3252 K1 Performance evaluation K1 Error probability K1 Simulation K1 Low earth orbit satellites K1 Channel estimation K1 Signal processing algorithms K1 Bayes methods K1 LEO satellite K1 activity detection K1 channel estimation K1 multiple-input multiple-output K1 sparse bayesian learning SP 391 OP 395 LK http://dx.doi.org/https://doi.org/10.1109/SPAWC53906.2023.10304503 DO https://doi.org/10.1109/SPAWC53906.2023.10304503 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)