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Robust Time Series Denoising with Learnable Wavelet Packet Transform
We demonstrate how the proposed algorithm relates to the universality of signal processing methods and the learning capabilities of deep learning approaches.
Fully Learnable Deep Wavelet Transform for Unsupervised Monitoring of High-Frequency Time Series
In this paper, we propose a fully unsupervised deep learning framework that is able to extract a meaningful and sparse representation of raw HF signals.
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