Hardware Realization of Nonlinear Activation Functions for NN-based Optical Equalizers
Preprint
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.Keywords
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This publication has 3 references indexed in Scilit:
- FPGA Implementation for the Sigmoid with Piecewise Linear Fitting Method Based on Curvature AnalysisElectronics, 2022
- Performance Versus Complexity Study of Neural Network Equalizers in Coherent Optical SystemsJournal of Lightwave Technology, 2021
- Digital signal processing for fiber nonlinearities [Invited]Optics Express, 2017