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1 Ergebnisse
1
Machine Learning Techniques for Optical Performance Monitor..:
Thrane, Jakob
;
Wass, Jesper
;
Piels, Molly
...
https://orbit.dtu.dk/en/publications/d25d70b2-0ae6-40c8-be4d-e4bf2fa8c323. , 2017
Link:
https://orbit.dtu.dk/en/publications/d25d70b2-0ae6-40c..
RT Journal T1
Machine Learning Techniques for Optical Performance Monitoring from Directly Detected PDM-QAM Signals
UL https://suche.suub.uni-bremen.de/peid=base-ftdtupubl:oai:pure.atira.dk:publications_d25d70b2-0ae6-40c8-be4d-e4bf2fa8c323&Exemplar=1&LAN=DE A1 Thrane, Jakob A1 Wass, Jesper A1 Piels, Molly A1 Medeiros Diniz, Júlio César A1 Jones, Rasmus A1 Zibar, Darko YR 2017 K1 Optical Communication K1 Machine Learning K1 Performance monitoring K1 Neural networks K1 Support vector machines JF https://orbit.dtu.dk/en/publications/d25d70b2-0ae6-40c8-be4d-e4bf2fa8c323 LK http://dx.doi.org/https://orbit.dtu.dk/en/publications/d25d70b2-0ae6-40c8-be4d-e4bf2fa8c323 DO https://orbit.dtu.dk/en/publications/d25d70b2-0ae6-40c8-be4d-e4bf2fa8c323 SF ELIB - SuUB Bremen
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