DocumentCode
516097
Title
Experimental comparison of performance monitoring using neural networks trained with parameters derived from delay-tap plots and eye diagrams
Author
Wu, Xiaoxia ; Jargon, Jeffrey A. ; Wang, Chih-Ming ; Paraschis, Loukas ; Willner, Alan E.
Author_Institution
Dept. of Electr. Eng. - Syst., Univ. of Southern California, Los Angeles, CA, USA
fYear
2010
fDate
21-25 March 2010
Firstpage
1
Lastpage
3
Abstract
We experimentally demonstrate the use of artificial neural networks trained with parameters derived from both delay-tap plots and eye diagrams for multi-impairment monitoring in a 40-Gbit/s non-return-to-zero on-off keying system.
Keywords
optical fibre networks; optical neural nets; pattern recognition; artificial neural network; delay-tap plots; eye diagram; fiber optics communication; multiimpairment monitoring; nonreturn-to-zero on-off keying system; pattern recognition; performance monitoring; Condition monitoring; Delay; Neural networks; Optical computing; Optical distortion; Optical fiber networks; Optical noise; Optical receivers; Optical signal processing; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Optical Fiber Communication (OFC), collocated National Fiber Optic Engineers Conference, 2010 Conference on (OFC/NFOEC)
Conference_Location
San Diego, CA
Electronic_ISBN
978-1-55752-884-1
Type
conf
Filename
5465811
Link To Document