Spiking Neural Network Equalization for IM/DD Optical Communication

Autor:	Arnold, Elias, Böcherer, Georg, Müller, Eric, Spilger, Philipp, Schemmel, Johannes, Calabrò, Stefano, Kuschnerov, Maxim
Rok vydání:	2022
Předmět:	Electrical Engineering and Systems Science - Signal Processing Computer Science - Neural and Evolutionary Computing
Druh dokumentu:	Working Paper
Popis:	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.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2205.04263 Zobrazit plný text záznamu View this record from Arxiv