Paper ID: 2305.09495

Hardware Realization of Nonlinear Activation Functions for NN-based Optical Equalizers

Sasipim Srivallapanondh, Pedro J. Freire, Antonio Napoli, Sergei K. Turitsyn, Jaroslaw E. Prilepsky

To reduce the complexity of the hardware implementation of neural network-based optical channel equalizers, we demonstrate that the performance of the biLSTM equalizer with approximated activation functions is close to that of the original model.

Submitted: May 16, 2023