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eess.SP2021★ 1 cited
Deep Learning Based Detection for Spectrally Efficient FDM Systems
David Picard, Arsenia Chorti
In this study we present how to approach the problem of building efficient detectors for spectrally efficient frequency division multiplexing (SEFDM) systems. The superiority of re…
eess.SP2021★ 3 cited
Rate Analysis and Deep Neural Network Detectors for SEFDM FTN Systems
Arsenia Chorti, David Picard
In this work we compare the capacity and achievable rate of uncoded faster than Nyquist (FTN) signalling in the frequency domain, also referred to as spectrally efficient FDM (SEFD…