Prediction of Second-Order Moments of Inter-Channel Interference with Principal Component Analysis and Neural Networks

被引：0
|
作者：
Jones, Rasmus T. [1 ]
Diniz, Julio C. M. [1 ]
Yankov, Metodi P. [1 ]
Piels, Molly [1 ]
Doberstein, Andy [2 ]
Zibar, Darko [1 ]
机构：
[1] Tech Univ Denmark, Dept Photon Engn, DTU Foton, B 343, DK-2800 Lyngby, Denmark
[2] Keysight Technol, Harburger Schlossstr 6-12, D-21079 Hamburg, Germany
来源：
43RD EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC 2017) | 2017年
关键词：
D O I：
暂无
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
A machine learning framework for predicting auto-correlation functions of inter-channel non-linearities within the uncompensated optical fiber link is proposed. Low generalization error is obtained on the test data.
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页数：3
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