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

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.

eess.SP cs.LG cs.NE Engineering Computer Science

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References (8)

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arXiv