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Spiking Neural Network-based Equalization and Demapping in IM/DD Systems: A Comparison
In recent years, artificial neural networks (ANNs) have emerged as the de facto standard for addressing challenging problems in communications engineering that are difficult to solve using traditional methods. However, the dense matrix multiplications employed in ANNs often result in high computatio
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