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.

© 2010 IEEE Communications Society, IEEE Photonics Society, OSA, Telcordia

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