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

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May 16, 2023
Sasipim Srivallapanondh, Pedro J. Freire, Antonio Napoli, Sergei K. Turitsyn, Jaroslaw E. Prilepsky
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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.

* 2 pages, 1 figure, 1 table, Conference on Lasers & Electro-Optics 2023  
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