Fully learnable deep wavelet transform for unsupervised monitoring of high-frequency time series [Engineering]

High-frequency (HF) signals are ubiquitous in the industrial world and are of great use for monitoring of industrial assets. Most deep-learning tools are designed for inputs of fixed and/or very limited size and many successful applications of deep learning to the industrial context use as inputs extracted features, which are...
Source: Proceedings of the National Academy of Sciences - Category: Science Authors: Tags: Engineering Physical Sciences Source Type: research