| Jahr | 2022 |
| Autor(en) | Elias Arnold, Georg Böcherer, Eric Müller, Philipp Spilger, Johannes Schemmel, Stefano Calabrò, Maxim Kuschnerov |
| Titel | Spiking Neural Network Equalization for IM/DD Optical Communication |
| KIP-Nummer | HD-KIP 22-60 |
| KIP-Gruppe(n) | F9 |
| Dokumentart | Paper |
| doi | https://arxiv.org/abs/2205.04263 |
| Abstract (en) | A spiking neural network (SNN) equalizer model suitable for electronic neuromorphic hardware is designed for an IM/DD link. The SNN achieves the same bit-error-rate as an artificial neural network, outperforming linear equalization. |
| bibtex | @inproceedings{arnold2022spiking,
author = {Arnold E, B\"ocherer G, M\"uller E, Spilger P, Schemmel J, Calabrò S, Kuschnerov M},
title = {Spiking Neural Network Equalization for IM/DD Optical Communication},
booktitle = {Signal Processing in Photonic Communications (SPPCom)},
year = {2022},
month = {jun},
note = {accepted}
} |
