SNNs with frequency-matched LIF decay factors achieve 6.22% higher test accuracy and 3.64x lower energy than ANN baselines on four mmWave datasets by using inherent low-pass filtering to suppress noise.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NE 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Frequency Matching in Spiking Neural Networks for mmWave Sensing
SNNs with frequency-matched LIF decay factors achieve 6.22% higher test accuracy and 3.64x lower energy than ANN baselines on four mmWave datasets by using inherent low-pass filtering to suppress noise.