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1 Ergebnisse
1
End-to-End Learning Based Symbol-to-Symbol Autoencoder for ..:
, In:
2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM)
,
Huang, Changle
;
Li, Zhongya
;
Jia, Junlian
... - p. 1-4 , 2023
Link:
https://doi.org/10.1109/ACP/POEM59049.2023.10369802
RT T1 <cTitle>2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM)</cTitle>: T1 <Title>End-to-End Learning Based Symbol-to-Symbol Autoencoder for G-band Fiber-Terahertz integrated Communication System</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10369802&Exemplar=1&LAN=DE A1 Huang, Changle A1 Li, Zhongya A1 Jia, Junlian A1 Xing, Size A1 Wang, Chengxi A1 Dong, Boyu A1 Shi, Jianyang A1 Chi, Nan A1 Zhang, Junwen YR 2023 K1 Wireless communication K1 Deep learning K1 Wireless sensor networks K1 Sensitivity K1 Quadrature amplitude modulation K1 Bit error rate K1 Forward error correction K1 autoencoder K1 teraherz K1 fiber-wireless K1 end-to-end deep learning SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/ACP/POEM59049.2023.10369802 DO https://doi.org/10.1109/ACP/POEM59049.2023.10369802 SF ELIB - SuUB Bremen
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