{"title":"基于人工神经网络的特征值调制信号解调的泛化性能","authors":"K. Mishina, D. Hisano, Y. Yoshida, A. Maruta","doi":"10.1109/OECC48412.2020.9273734","DOIUrl":null,"url":null,"abstract":"The generalization performance of an artificial neural network-based demodulator for an eigenvalue modulated signal is investigated. Successful demodulation for transmission distances from zero to 3,000 km and carrier frequency offset within 1 GHz is demonstrated.","PeriodicalId":433309,"journal":{"name":"2020 Opto-Electronics and Communications Conference (OECC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Generalization Performance of Artificial Neural Network Based-Demodulator for Eigenvalue Modulated Signal\",\"authors\":\"K. Mishina, D. Hisano, Y. Yoshida, A. Maruta\",\"doi\":\"10.1109/OECC48412.2020.9273734\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The generalization performance of an artificial neural network-based demodulator for an eigenvalue modulated signal is investigated. Successful demodulation for transmission distances from zero to 3,000 km and carrier frequency offset within 1 GHz is demonstrated.\",\"PeriodicalId\":433309,\"journal\":{\"name\":\"2020 Opto-Electronics and Communications Conference (OECC)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Opto-Electronics and Communications Conference (OECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OECC48412.2020.9273734\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Opto-Electronics and Communications Conference (OECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OECC48412.2020.9273734","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Generalization Performance of Artificial Neural Network Based-Demodulator for Eigenvalue Modulated Signal
The generalization performance of an artificial neural network-based demodulator for an eigenvalue modulated signal is investigated. Successful demodulation for transmission distances from zero to 3,000 km and carrier frequency offset within 1 GHz is demonstrated.
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