Pedro J. Freire, Daniel Abode, J. Prilepsky, S. Turitsyn
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Power and Modulation Format Transfer Learning for Neural Network Equalizers in Coherent Optical Transmission Systems
Transfer learning is proposed to adapt an NN-based nonlinear equalizer across different launch powers and modulation formats using a 450km TWC-fiber transmission. The result shows up to 92% reduction in epochs or 90% in the training dataset.
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