A small adversarial denoising autoencoder with logistic covariance rescaling filters EMG noise from EEG competitively while using under 400,000 parameters.
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Targeted Adversarial Denoising Autoencoders (TADA) for Neural Time Series Filtration
A small adversarial denoising autoencoder with logistic covariance rescaling filters EMG noise from EEG competitively while using under 400,000 parameters.