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Found 2 papers, 1 papers with code
SDEMG: Score-based Diffusion Model for Surface Electromyographic Signal Denoising
In this study, we proposed a novel approach, termed SDEMG, as a score-based diffusion model for sEMG signal denoising.
Low-Complexity LSTM Training and Inference with FloatSD8 Weight Representation
The FloatSD technology has been shown to have excellent performance on low-complexity convolutional neural networks (CNNs) training and inference.
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