arXiv · 2305.09495
Hardware Realization of Nonlinear Activation Functions for NN-based Optical Equalizers
Abstract
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.
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Sasipim Srivallapanondh, Pedro J. Freire, Antonio Napoli, Sergei K. Turitsyn, Jaroslaw E. Prilepsky. 2023-05-16. Hardware Realization of Nonlinear Activation Functions for NN-based Optical Equalizers. https://arxiv.org/abs/2305.09495
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