Linear shallow neural network to accelerate transmitter dispersion eye closure quaternary(TDECQ)assessment

查看全文 作　　者：Junjiang [1]XIANG;Zejun [1]CHEN;Yijun [2]CHENG;Hailin [1]YANG;Xuancheng [1]HUO;Meng [1,3,4]XIANG;Gai [1]ZHOU;Yuwen [1,3,4]QIN;Songnian [1,3,4]FU 机构地区：[1]Institute of Advanced Photonics Technology,School of Information Engineering,Guangdong University of Technology,Guangzhou 510006,China;[2]School of Optical and Electronic Information,Huazhong University of Science and Technology,Wuhan 430074,China;[3]Key Laboratory of Photonic Technology for Integrated Sensing and Communication,Ministry of Education of China,Guangdong University of Technology,Guangzhou 510006,China;[4]Guangdong Provincial Key Laboratory of Information Photonics Technology,Guangdong University of Technology,Guangzhou 510006,China 出　　处：《Science China(Information Sciences)》索引2024年第67卷第4期,共2页 基　　金：supported by National Natural Science Foundation of China(Grant No.62025502);Guangdong Introducing Innovative and Entrepreneurial Teams of the Pearl River Talent Recruitment Program(Grant No.2021ZT09X044)。 摘　　要：To support the ever-emerging capacity requirement of datacenter interconnection(DCI)applications,transmitter dispersion eye closure quaternary(TDECQ)has been proposed by IEEE802.3 standard[1],which is specifically employed for the four-level pulse amplitude modulation(PAM-4)signals.However,the traditional scheme of TDECQ assessment needs several iterative operations。 关 键 词：SHALLOW CLOSURE DISPERSION