2 citations · 4 across the 3 of their papers we have counts for
3 papers · 1 filter
Spiking Neural Belief Propagation Decoder for Short Block Length LDPC Codes
Alexander von Bank, Eike-Manuel Edelmann, Sisi Miao +2
Spiking neural networks (SNNs) are neural networks that enable energy-efficient signal processing due to their event-based nature. This paper proposes a novel decoding algorithm fo…
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 decre…
Spiking Neural Network Decision Feedback Equalization
Eike-Manuel Bansbach, Alexander von Bank, Laurent Schmalen
In the past years, artificial neural networks (ANNs) have become the de-facto standard to solve tasks in communications engineering that are difficult to solve with traditional met…