/DeSpaWN

Code of DeSpaWN ((https://doi.org/10.1073/pnas.2106598119)

Primary LanguagePythonMIT LicenseMIT

DeSpaWN

Code of DeSpaWN (https://doi.org/10.1073/pnas.2106598119)

Title:

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

Description:

Toy script to showcase the deep neural network DeSpaWN. Please cite the corresponding paper:

Michau, G., Frusque, G., & Fink, O. (2022). Fully learnable deep wavelet transform for unsupervised monitoring of high-frequency time series. Proceedings of the National Academy of Sciences, 119(8).

Version: 1.0

@author:

Dr. Gabriel Michau, Chair of Intelligent Maintenance Systems ETH Zürich

Created on 15.01.2022

Licence:

MIT License

Copyright (c) 2022 Dr. Gabriel Michau

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.