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
Deep Learning and Time-Frequency Analysis Based Automatic L..:
, In:
2023 IEEE 23rd International Conference on Communication Technology (ICCT)
,
Li, Xiangzhen
;
Cai, Zhuoran
- p. 291-296 , 2023
Link:
https://doi.org/10.1109/ICCT59356.2023.10419738
RT T1
2023 IEEE 23rd International Conference on Communication Technology (ICCT)
: T1
Deep Learning and Time-Frequency Analysis Based Automatic Low Probability of Intercept Radar Waveform Recognition Method
UL https://suche.suub.uni-bremen.de/peid=ieee-10419738&Exemplar=1&LAN=DE A1 Li, Xiangzhen A1 Cai, Zhuoran YR 2023 SN 2576-7828 K1 Time-frequency analysis K1 Radar detection K1 Radar K1 Feature extraction K1 Radar tracking K1 Radar countermeasures K1 Signal to noise ratio K1 Automatic waveform recognition K1 LPI radar signal K1 deep learning K1 time-frequency analysis SP 291 OP 296 LK http://dx.doi.org/https://doi.org/10.1109/ICCT59356.2023.10419738 DO https://doi.org/10.1109/ICCT59356.2023.10419738 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)