Optical performance monitoring by use of artificial neural networks trained with parameters derived from delay-tap asynchronous sampling

We demonstrate a technique for optical performance monitoring by simultaneously identifying optical signal-to-noise ratio (OSNR), chromatic dispersion (CD), and polarization mode dispersion (PMD) using artificial neural networks trained with parameters derived from delay-tap asynchronous sampling.