Experimental Comparison of Performance Monitoring Using Neural Networks Trained with Parameters Derived from Delay-Tap Plots and Eye Diagrams     Fiber optics communications  Pattern recognition  neural networks       font style='font-size:12px;'> 2015/6/4

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...

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Optical Performance Monitoring of PSK Data Channels Using Artificial Neural Networks Trained with Parameters Derived from Delay-Tap Asynchronous Diagrams via Balanced Detection     Optical Performance Monitoring  PSK Data Channels  Artificial Neural Networks Trained  Parameters Derive       font style='font-size:12px;'> 2015/7/17

We demonstrate a technique of using artificial neural networks for optical performance monitoring of PSK data signals. Parameters for training are derived from delay-tap asynchronous diagrams using ba...

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