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.

引用

页数：3

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