tag:joss.theoj.org,2005:/papers/tagged/denoisingJournal of Open Source Software2022-03-22T17:09:43ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/31712022-03-22T17:09:43Z2022-10-11T07:01:39ZPyNumDiff: A Python package for numerical differentiation of noisy time-series dataacceptedv0.0.32021-11-15 19:13:23 UTC712022-03-22 17:09:43 UTC720224078FlorisVan BreugelDepartment of Mechanical Engineering, University of Nevada at RenoYuyingLiuDepartment of Applied Mathematics, University of WashingtonBingniW.BruntonDepartment of Biology, University of WashingtonJ.NathanKutzDepartment of Applied Mathematics, University of Washington10.21105/joss.04078https://doi.org/10.5281/zenodo.6374098Pythonhttps://joss.theoj.org/papers/10.21105/joss.04078.pdfnumerical differentiation, denoising, dynamics, time series, machine learning