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10 items by relevance
1 Conference paper

Machine Learning for Optical Performance Monitoring from Directly Detected PDM-QAM Signals

Wass, J.; Thrane, Jakob; Piels, Molly; Medeiros Diniz, Júlio César; Jones, Rasmus; Zibar, Darko

Proceedings of the 42nd European Conference and Exhibition on Optical Communications (ecoc 2016) — 2016, pp. 1082-1084

Supervised machine learning methods are applied and demonstrated experimentally for inband OSNR estimation and modulation format classification in optical communication systems. The proposed methods accurately evaluate coherent signals up to 64QAM using only intensity information.

Year: 2016

Language: English

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2 Journal article

Machine Learning Techniques for Optical Performance Monitoring from Directly Detected PDM-QAM Signals

Thrane, Jakob; Wass, Jesper; Piels, Molly; Medeiros Diniz, Júlio César; Jones, Rasmus; Zibar, Darko

Journal of Lightwave Technology — 2017, Volume 35, Issue 4, pp. 868-875

Linear signal processing algorithms are effective in dealing with linear transmission channel and linear signal detection, while the nonlinear signal processing algorithms, from the machine learning community, are effective in dealing with nonlinear transmission channel and nonlinear signal

Year: 2017

Language: English

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