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

• URL: http://arxiv.org/abs/2312.12909v1
• Date: Wed, 20 Dec 2023 10:45:24 GMT
• Title: Energy-efficient Spiking Neural Network Equalization for IM/DD Systems with Optimized Neural Encoding
• Authors: Alexander von Bank, Eike-Manuel Edelmann, Laurent Schmalen
• Abstract summary: 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.
• Score: 53.909333359654276
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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