133 citations · 200 across the 10 of their papers we have counts for
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cs.SD2022★ 10 cited
Robust Time Series Denoising with Learnable Wavelet Packet Transform
Gaetan Frusque, Olga Fink
Signal denoising is a key preprocessing step for many applications, as the performance of a learning task is closely related to the quality of the input data. In this paper, we app…
eess.SP2022★ 23 cited
Acceleration-guided Acoustic Signal Denoising Framework Based on Learnable Wavelet Transform Applied to Slab Track Condition Monitoring
Baorui Dai, Gaëtan Frusque, Qi Li +1
Acoustic monitoring has recently shown great potential in the diagnosis of infrastructure condition. However, due to the severe noise interference in acoustic signals, meaningful f…
cs.SD2022★ 17 cited
Learnable Wavelet Packet Transform for Data-Adapted Spectrograms
Gaetan Frusque, Olga Fink
Capturing high-frequency data concerning the condition of complex systems, e.g. by acoustic monitoring, has become increasingly prevalent. Such high-frequency signals typically con…