Metadata-Version: 2.1
Name: noise-robust-differentiator
Version: 0.0.2
Summary: Python implementation of Pavel Holoborodko's smooth noise-robust differentiators
Home-page: UNKNOWN
Author: Matt Vernacchia
Author-email: mvernacc@mit.edu
License: UNKNOWN
Project-URL: Source Code, https://github.com/mvernacc/noise_robust_differentiator
Keywords: derivative noise numerical
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: scipy
Provides-Extra: docs
Requires-Dist: sphinx-rtd-theme ; extra == 'docs'
Requires-Dist: numpy ; extra == 'docs'
Requires-Dist: scipy ; extra == 'docs'
Provides-Extra: test
Requires-Dist: pytest ; extra == 'test'
Requires-Dist: coverage ; extra == 'test'
Requires-Dist: pytest-cov ; extra == 'test'
Requires-Dist: matplotlib ; extra == 'test'
Requires-Dist: numpy ; extra == 'test'
Requires-Dist: scipy ; extra == 'test'

# noise_robust_differentiator
Python implementation of Pavel Holoborodko's smooth noise-robust differentiators.
See http://www.holoborodko.com/pavel/numerical-methods/numerical-derivative/smooth-low-noise-differentiators/


