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Spiking Neural Network Decision Feedback Equalization. (arXiv:2211.04756v1 [eess.SP])
Nov. 10, 2022, 2:11 a.m. | Eike-Manuel Bansbach, Alexander von Bank, Laurent Schmalen
cs.LG updates on arXiv.org arxiv.org
In the past years, artificial neural networks (ANNs) have become the de-facto
standard to solve tasks in communications engineering that are difficult to
solve with traditional methods. In parallel, the artificial intelligence
community drives its research to biology-inspired, brain-like spiking neural
networks (SNNs), which promise extremely energy-efficient computing. In this
paper, we investigate the use of SNNs in the context of channel equalization
for ultra-low complexity receivers. We propose an SNN-based equalizer with a
feedback structure akin to the decision …
arxiv decision feedback network neural network spiking neural network
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