Robust Time Series Denoising with Learnable Wavelet Packet Transform. (arXiv:2206.06126v4 [cs.SD] UPDATED)

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 apply a signal processing based deep neural network
architecture, a learnable extension of the wavelet packet transform. As main
advantages, this model has few parameters, an intuitive initialization and
strong learning capabilities. Moreover, we show that it is possible to easily
modify the parameters of the model after the …

arxiv denoising series time series wavelet