Search Results for author: Gaetan Frusque

Found 2 papers, 0 papers with code

Robust Time Series Denoising with Learnable Wavelet Packet Transform

no code implementations13 Jun 2022 Gaetan Frusque, Olga Fink

We demonstrate how the proposed algorithm relates to the universality of signal processing methods and the learning capabilities of deep learning approaches.

Denoising Time Series +1

Fully Learnable Deep Wavelet Transform for Unsupervised Monitoring of High-Frequency Time Series

no code implementations3 May 2021 Gabriel Michau, Gaetan Frusque, Olga Fink

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.

Denoising Time Series

Cannot find the paper you are looking for? You can Submit a new open access paper.