Energy-efficient Spiking Neural Network Equalization for IM/DD Systems
  with Optimized Neural Encoding
Alexander von Bank Eike-Manuel Edelmann Laurent Schmalen
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.