year | 2022 |
author(s) | Arnold E, Böcherer G, Müller E, Spilger P, Schemmel J, Calabrò S, Kuschnerov M |
title | Spiking Neural Network Equalization for IM/DD Optical Communication |
KIP-Nummer | HD-KIP 22-33 |
KIP-Gruppe(n) | F9 |
document type | Paper |
source | SPPCom (2022) |
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, Böcherer G, Müller 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}, volume = {}, pages = {}, note = {https://arxiv.org/abs/2205.04263} } |