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Multicomponent signal denoising with synchrosqueezing
2012 IEEE Statistical Signal Processing Workshop (SSP), 2012In this paper, we develop a new technique based on the synchrosqueezing method to denoise multicomponent signals. The approach proposed is based on a two step strategy: a mode detection step followed by a reconstruction one. The emphasis is put on the robustness of the detection step in a noisy context, a key issue in the implementation of the method ...
S. Meignen, T. Oberlin, S. McLaughlin
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Chaotic Signal Denoising Based on Simplified Convolutional Denoising Auto-Encoder
SSRN Electronic Journal, 2022Lou, Shuting +2 more
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Leveraging end-to-end denoisers for denoising periodic signals
2021 29th European Signal Processing Conference (EUSIPCO), 2021Jules Rio +3 more
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EEG Signal Denoising Using Beta-Variational Autoencoder
2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)Electroencephalography (EEG) signals are a valuable source of information for investigating brain activity and different types of brain-related disease diagnoses. However, EEG signals are often contaminated by various kinds of noises/artifacts. Several methods have been proposed for EEG reconstruction/denoising to facilitate signal analysis, but such ...
Behzad, Mahaseni, Naimul Mefraz, Khan
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SignalP 6.0 predicts all five types of signal peptides using protein language models
Nature Biotechnology, 2022Felix Teufel +2 more
exaly
Interpretable Graph Signal Denoising Using Regularization by Denoising
2024 32nd European Signal Processing Conference (EUSIPCO)Hayate Kojima +2 more
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Advances in Prostate Cancer Chemotherapy: A New Era Begins
Ca-A Cancer Journal for Clinicians, 2005Kenneth J Pienta, David C Smith
exaly
Signal integration in the endoplasmic reticulum unfolded protein response
Nature Reviews Molecular Cell Biology, 2007David Ron, Peter Walter
exaly

