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1 Ergebnisse
1
A DenseNet-Based Learning Framework Toward Maritime End-to-..:
, In:
2023 IEEE/CIC International Conference on Communications in China (ICCC)
,
Shao, Shuai
;
Lin, Bin
;
Wu, Nan
. - p. 1-6 , 2023
Link:
https://doi.org/10.1109/ICCC57788.2023.10233606
RT T1
2023 IEEE/CIC International Conference on Communications in China (ICCC)
: T1
A DenseNet-Based Learning Framework Toward Maritime End-to-End Autoencoder Communication Systems
UL https://suche.suub.uni-bremen.de/peid=ieee-10233606&Exemplar=1&LAN=DE A1 Shao, Shuai A1 Lin, Bin A1 Wu, Nan A1 Han, Xiaoling YR 2023 K1 Convolutional codes K1 Recurrent neural networks K1 Correlation K1 Simulation K1 Rician channels K1 Feature extraction K1 Robustness K1 Densely connected convolutional network K1 end-to-end K1 autoencoder K1 maritime communications SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICCC57788.2023.10233606 DO https://doi.org/10.1109/ICCC57788.2023.10233606 SF ELIB - SuUB Bremen
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