Sparsity-aware event-driven impulse radio transceivers using two-timescale repetition coding and digital/analog spike encoding enable reliable multi-user neuromorphic inference with SNR-dependent tradeoffs between the two schemes.
DNN-SNN co-learning for sustainable symbol detection in 5G systems on Loihi chip
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Sparsity-Aware Event-Driven Impulse Radio Transceivers for Reliable Neuromorphic Inference
Sparsity-aware event-driven impulse radio transceivers using two-timescale repetition coding and digital/analog spike encoding enable reliable multi-user neuromorphic inference with SNR-dependent tradeoffs between the two schemes.