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
Reinforcement Learning-Based Weak Signal Detection from Com..:
, In:
2023 57th Asilomar Conference on Signals, Systems, and Computers
,
Pavel, Md. Saidur R.
;
Zhang, Yimin D.
- p. 438-442 , 2023
Link:
https://doi.org/10.1109/IEEECONF59524.2023.10476805
RT T1
2023 57th Asilomar Conference on Signals, Systems, and Computers
: T1
Reinforcement Learning-Based Weak Signal Detection from Compressed Measurements in Massive MIMO Systems
UL https://suche.suub.uni-bremen.de/peid=ieee-10476805&Exemplar=1&LAN=DE A1 Pavel, Md. Saidur R. A1 Zhang, Yimin D. YR 2023 SN 2576-2303 K1 Computers K1 Base stations K1 Simulation K1 Estimation K1 Massive MIMO K1 Reinforcement learning K1 Reliability K1 weak signal K1 massive MIMO K1 compressive measurement matrix K1 direction-of-arrival estimation SP 438 OP 442 LK http://dx.doi.org/https://doi.org/10.1109/IEEECONF59524.2023.10476805 DO https://doi.org/10.1109/IEEECONF59524.2023.10476805 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)