most citedSpiking Neural Network Nonlinear Demapping on Neuromorphic Hardware for IM/DD Optical Communication

17 citations · 17 across the 1 of their papers we have counts for

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eess.SP2024

Diffusion-based Generative Prior for Low-Complexity MIMO Channel Estimation

Benedikt Fesl, Michael Baur, Florian Strasser +2

This work proposes a novel channel estimator based on diffusion models (DMs), one of the currently top-rated generative models. Contrary to related works utilizing generative prior…

eess.SP2023★ 17 cited

Spiking Neural Network Nonlinear Demapping on Neuromorphic Hardware for IM/DD Optical Communication

Elias Arnold, Georg Böcherer, Florian Strasser +7

Neuromorphic computing implementing spiking neural networks (SNN) is a promising technology for reducing the footprint of optical transceivers, as required by the fast-paced growth…