Jargon, J.
, Wu, X.
and Willner, A.
(2009),
Optical Performance Monitoring Using Artificial Neural Networks Trained with Parameters Derived from Delay-Tap Asynchronous Sampling, Tech. Dig., Optical Fiber Communication Conf. (OFC), San Diego, CA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=33186
(Accessed October 13, 2024)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Optical Performance Monitoring Using Artificial Neural Networks Trained with Parameters Derived from Delay-Tap Asynchronous Sampling
Published
Author(s)
, Xiaoxia Wu, Alan Willner
Abstract
We demonstrate a technique for optical performance monitoring by simultaneously identifying optical signal-to-noise ratio (OSNR), chromatic dispersion (CD), and polarization-mode dispersion (PMD) using artificial neural networks trained with parameters derived from delay-tap asynchronous sampling.Proceedings Title
Tech. Dig., Optical Fiber Communication Conf. (OFC)
Conference Dates
March 22-26, 2009
Conference Location
San Diego, CA
Pub Type
Conferences
Download Paper
Keywords
artificial neural network, asynchronous sampling, chromatic dispersion, optical performance monitoring, optical signal-to-noise ratio, polarization-mode dispersion
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.
Created March 20, 2009, Updated February 19, 2017