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Joint OSNR, Skew, ROF Monitoring of Coherent Channel using Eye Diagram Measurement and Deep Learning

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Abstract

CNN-based deep learning is used to monitor coherent channel performance with eye diagram measurement. For 32GBd-QPSK signals, 99.57% prediction accuracy is achieved for 15 to 40dB OSNR, -15 to 15ps skew, 0.02 to 1 ROF.

© 2019 The Author(s)

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