Low complexity classification approach for Faster-than-Nyquist (FTN) signaling detection

S Abbasi, E Bedeer - IEEE Communications Letters, 2023 - ieeexplore.ieee.org
In this letter, we investigate the use of machine learning (ML) to reduce the detection
complexity of faster-than-Nyquist (FTN) signaling. In particular, we view the FTN signaling …
被引用次数：5 相关文章

Low Complexity Classification Approach for Faster-than-Nyquist (FTN) Signalling Detection

S Abbasi, E Bedeer - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Abstract Faster-than-Nyquist (FTN) signaling can improve the spectral efficiency (SE);
however, at the expense of high computational complexity to remove the introduced …

Low Complexity Classification Approach for Faster-than-Nyquist (FTN) Signalling Detection

S Abbasi, E Bedeer - arXiv preprint arXiv:2208.10637, 2022 - arxiv.org
Faster-than-Nyquist (FTN) signaling can improve the spectral efficiency (SE); however, at the
expense of high computational complexity to remove the introduced intersymbol interference …