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

20 Dec 2023  ·  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.

PDF Abstract

Datasets


  Add Datasets introduced or used in this paper

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods


No methods listed for this paper. Add relevant methods here