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1 Ergebnisse
1
Classification of Radio Signals Using Truncated Gaussian Di..:
, In:
MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM)
,
Persons, J.B.
;
Wong, L. J.
;
Moore, M.O.
.. - p. 304-310 , 2022
Link:
https://doi.org/10.1109/MILCOM55135.2022.10017724
RT T1 <cTitle>MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM)</cTitle>: T1 <Title>Classification of Radio Signals Using Truncated Gaussian Discriminant Analysis of Convolutional Neural Network-Derived Features</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10017724&Exemplar=1&LAN=DE A1 Persons, J.B. A1 Wong, L. J. A1 Moore, M.O. A1 Headley, W. C. A1 Fowler, M. C. YR 2022 SN 2155-7586 K1 Radio frequency K1 Military communication K1 Maximum likelihood estimation K1 Scalability K1 Modulation K1 Machine learning K1 Gaussian distribution K1 radio frequency machine learning (RFML) K1 supervised bootstrapping K1 truncated Gaussian discriminant analysis (TGDA) K1 maximum likelihood estimation (MLE) SP 304 OP 310 LK http://dx.doi.org/https://doi.org/10.1109/MILCOM55135.2022.10017724 DO https://doi.org/10.1109/MILCOM55135.2022.10017724 SF ELIB - SuUB Bremen
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