Nov. 14, 2022, 2:12 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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