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1 Ergebnisse
1
A Conditional Generative Adversarial Network aided Few-mode..:
, In:
2023 21st International Conference on Optical Communications and Networks (ICOCN)
,
Yuan, Mengzhu
;
Chang, Huan
;
Ma, Ming
... - p. 1-3 , 2023
Link:
https://doi.org/10.1109/ICOCN59242.2023.10236403
RT T1 <cTitle>2023 21st International Conference on Optical Communications and Networks (ICOCN)</cTitle>: T1 <Title>A Conditional Generative Adversarial Network aided Few-mode Fiber Channel Modeling for large-capacity optical fiber communication</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10236403&Exemplar=1&LAN=DE A1 Yuan, Mengzhu A1 Chang, Huan A1 Ma, Ming A1 Gao, Ran A1 Wang, Fei A1 Zhang, Qi A1 Guo, Dong A1 Li, Zhipei A1 Wang, Fu A1 Huang, Xin YR 2023 SN 2771-3059 K1 Optical fibers K1 Deep learning K1 Simulation K1 Optical fiber networks K1 Generative adversarial networks K1 Few mode fiber K1 Channel modeling K1 Conditional generative adversarial network SP 1 OP 3 LK http://dx.doi.org/https://doi.org/10.1109/ICOCN59242.2023.10236403 DO https://doi.org/10.1109/ICOCN59242.2023.10236403 SF ELIB - SuUB Bremen
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