7 citations · 11 across the 5 of their papers we have counts for
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eess.SP2019★ 7 cited
Deep Learning based Blind Symbol Packing Ratio Estimation for Faster-than-Nyquist Signaling
Peiyang Song, Fengkui Gong, Qiang Li
This letter proposes a blind symbol packing rartio estimation for faster-than-Nyquist (FTN) signaling based on state-of-the-art deep learning (DL) technology. The symbol packing ra…
eess.SP2019★ 2 cited
Symbol-Based Multi-Layer Iterative Successive Interference Cancellation for Faster-Than-Nyquist Signaling
Qiang Li, Feng-Kui Gong, Pei-Yang Song +1
A symbol-based multi-layer iterative successive interference cancellation (MLISIC) algorithm is proposed to eliminate the inter-symbol interference (ISI) for faster-than-Nyquist (F…