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dc.contributor.authorChuang, Chun-Yenen_US
dc.contributor.authorWei, Chia-Chienen_US
dc.contributor.authorLin, Tien-Chienen_US
dc.contributor.authorChi, Kai-Lunen_US
dc.contributor.authorLiu, Li-Chunen_US
dc.contributor.authorShi, Jin-Weien_US
dc.contributor.authorChen, Young-Kaien_US
dc.contributor.authorChen, Jyehongen_US
dc.date.accessioned2018-08-21T05:56:26Z-
dc.date.available2018-08-21T05:56:26Z-
dc.date.issued2017-01-01en_US
dc.identifier.urihttp://hdl.handle.net/11536/146198-
dc.description.abstractWe implement a deep neural network (DNN) to attain a 64-Gbps 4-PAM, 4-km MMF link by using 850-nm VCSEL, with BER of 4.41 x 10(-5). The data-rate-distance product achieves recorded high of 256-Gbps.km for Inter-data center applications.en_US
dc.language.isoen_USen_US
dc.titleEmploying Deep Neural Network for High Speed 4-PAM Optical Interconnecten_US
dc.typeProceedings Paperen_US
dc.identifier.journal43RD EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC 2017)en_US
dc.contributor.department光電工程學系zh_TW
dc.contributor.departmentDepartment of Photonicsen_US
dc.identifier.wosnumberWOS:000434969300379en_US
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