Jargon, J.
, Wu, X.
, Jia, Z.
, Paraschis, L.
, Skoog, R.
and Willner, A.
(2009),
Optical performance monitoring of PSK Data Channels using artificial neural networks trained with parameters derived from delay-tap asynchronous diagrams via balanced detection, 35th European Conference on Optical Communications, Vienna, -1, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=902574
(Accessed December 21, 2024)
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Optical performance monitoring of PSK Data Channels using artificial neural networks trained with parameters derived from delay-tap asynchronous diagrams via balanced detection
Published
Author(s)
, Xiaoxia Wu, Zhensheng Jia, Loukas Paraschis, Ronald Skoog, Alan Willner
Abstract
We demonstrate a technique of using artificial neural networks for optical performance monitoring of PSK data signals. Parameters for training are derived from delay-tap asynchronous diagrams using balanced detection. We also compare the results with the case of using direct detection.Proceedings Title
35th European Conference on Optical Communications
Conference Dates
September 20-24, 2009
Conference Location
Vienna
Pub Type
Conferences
Download Paper
Keywords
artificial neural network, asynchronous sampling, balanced detection, optical performance monitoring
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.
Created September 20, 2009, Updated February 19, 2017