Energy-efficient Spiking Neural Network Equalization for IM/DD Systems with Optimized Neural Encoding

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.