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1 Ergebnisse
1
CNN-Based End-to-End Deeper Autoencoders for Physical Layer..:
, In:
2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS)
,
Ferdous, Jannatul
;
Mollah, Md. Aslam
;
Rahman, Afiquer
- p. 1-6 , 2024
Link:
https://doi.org/10.1109/iCACCESS61735.2024.10499465
RT T1 <cTitle>2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS)</cTitle>: T1 <Title>CNN-Based End-to-End Deeper Autoencoders for Physical Layer of Wireless Communication System</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10499465&Exemplar=1&LAN=DE A1 Ferdous, Jannatul A1 Mollah, Md. Aslam A1 Rahman, Afiquer YR 2024 K1 Wireless communication K1 Training K1 Error analysis K1 Computational modeling K1 Throughput K1 Convolutional neural networks K1 Time factors K1 Autoencoder K1 convolutional neural network K1 wireless communication K1 channel state information K1 end-to-end task K1 VGG-16 SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/iCACCESS61735.2024.10499465 DO https://doi.org/10.1109/iCACCESS61735.2024.10499465 SF ELIB - SuUB Bremen
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