Convolutional Neural Network based Nonlinear Classifier for 112-Gbps High Speed Optical Link

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DC 欄位	值	語言
dc.contributor.author	Chuang, Chun-Yen	en_US
dc.contributor.author	Liu, Li-Chun	en_US
dc.contributor.author	Wei, Chia-Chien	en_US
dc.contributor.author	Liu, Jun-Jie	en_US
dc.contributor.author	Henrickson, Lindor	en_US
dc.contributor.author	Huang, Wan-Jou	en_US
dc.contributor.author	Wang, Chih-Lin	en_US
dc.contributor.author	Chen, Young-Kai	en_US
dc.contributor.author	Chen, Jyehong	en_US
dc.date.accessioned	2018-08-21T05:56:28Z	-
dc.date.available	2018-08-21T05:56:28Z	-
dc.date.issued	2018-01-01	en_US
dc.identifier.uri	http://hdl.handle.net/11536/146228	-
dc.description.abstract	We have designed a novel convolutional neural network based nonlinear classifier that outperforms traditional Volterra nonlinear equalizers. A BER of 3.50 x 10(-6) is obtained for a 112-Gbps PAM4 EML-based optical link over 40-km SMF transmission.	en_US
dc.language.iso	en_US	en_US
dc.title	Convolutional Neural Network based Nonlinear Classifier for 112-Gbps High Speed Optical Link	en_US
dc.type	Proceedings Paper	en_US
dc.identifier.journal	2018 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC)	en_US
dc.contributor.department	光電工程學系	zh_TW
dc.contributor.department	Department of Photonics	en_US
dc.identifier.wosnumber	WOS:000437286300442	en_US
顯示於類別：	會議論文