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Authors
Floris Van Breugel, Yuying Liu, Bingni W. Brunton, J. Nathan Kutz
Citation
Van Breugel et al., (2022). PyNumDiff: A Python package for numerical differentiation of noisy time-series data. Journal of Open Source Software, 7(71), 4078, https://doi.org/10.21105/joss.04078
@article{Van Breugel2022,
doi = {10.21105/joss.04078},
url = {https://doi.org/10.21105/joss.04078},
year = {2022},
publisher = {The Open Journal},
volume = {7},
number = {71},
pages = {4078},
author = {Floris Van Breugel and Yuying Liu and Bingni W. Brunton and J. Nathan Kutz},
title = {PyNumDiff: A Python package for numerical differentiation of noisy time-series data},
journal = {Journal of Open Source Software}
}
Tags
numerical differentiation denoising dynamics time series machine learning
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