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

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.