Energy-Efficient Spiking Neural Network Equalization for IM/DD Systems With Optimized Neural Encoding (W2A.15)
Presenter: Eike-Manuel Edelmann, KIT CEL
We propose an energy-efficient equalizer for IM/DD systems based on spiking neural networks. We optimize a neural spike encoding that boosts the equalizer’s performance while decreasing energy consumption.
Authors:Alexander von Bank, KIT CEL / Eike-Manuel Edelmann, KIT CEL / Laurent Schmalen, KIT CEL