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Spiking Neural Network Equalization for IM/DD Optical Communication

Signal Processing 2022-06-02 v2 Neural and Evolutionary Computing

Abstract

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.

Keywords

Cite

@article{arxiv.2205.04263,
  title  = {Spiking Neural Network Equalization for IM/DD Optical Communication},
  author = {Elias Arnold and Georg Böcherer and Eric Müller and Philipp Spilger and Johannes Schemmel and Stefano Calabrò and Maxim Kuschnerov},
  journal= {arXiv preprint arXiv:2205.04263},
  year   = {2022}
}
R2 v1 2026-06-24T11:11:28.745Z