Alexander von Bank, Eike-Manuel Edelmann, Laurent Schmalen
A spiking neural network (SNN) equalizer with a decision feedback structure is applied to an IM/DD link with various parameters. The SNN outperforms linear and artificial neural network (ANN) based equalizers.
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.
Laurent Schmalen, Vincent Lauinger, Jonas Ney et al.
In this paper, we highlight recent advances in the use of machine learning for implementing equalizers for optical communications. We highlight both algorithmic advances as well as implementation aspects using conventional and neuromorphic hardware.