Experimental estimation of optical nonlinear memory channel conditional distribution using deep neural networks

We demonstrate that neural networks can approximate the conditional distribution of non-linear channels with memory. This distribution then feeds the BCJR algorithm to detect transmitted data in experimental IM/DD 3.2-km transmission of 64 GBd PAM4.