Robust Time Series Denoising with Learnable Wavelet Packet Transform. (arXiv:2206.06126v3 [cs.SD] UPDATED)

In many applications, signal denoising is often the first pre-processing step
before any subsequent analysis or learning task. In this paper, we propose to
apply a deep learning denoising model inspired by a signal processing, a
learnable version of wavelet packet transform. The proposed algorithm has
signficant learning capabilities with few interpretable parameters and has an
intuitive initialisation. We propose a post-learning modification of the
parameters to adapt the denoising to different noise levels. We evaluate the
performance of the …

arxiv denoising series time series wavelet