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Published in 2025 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2025.3602366
Abstract: This paper presents a novel convolutional neural network (CNN)-based detector for faster-than-Nyquist (FTN) signaling, introducing structured fixed kernel layers with domain-informed masking to effectively mitigate intersymbol interference (ISI). Unlike standard CNN architectures that rely on…
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Keywords:
detector faster;
based standalone;
detector;
faster nyquist ... See more keywords