Metadata-Version: 2.1
Name: AdvEMDpy
Version: 0.0.15
Summary: Advanced Empirical Mode Decomposition package with numerous extensions to various aspects of core algorithm.
Home-page: https://github.com/Cole-vJ/AdvEMDpy.git
Download-URL: https://github.com/Cole-vJ/AdvEMDpy/archive/refs/tags/v0.0.15.tar.gz
Author: Cole van Jaarsveldt
Author-email: colevj0303@gmail.com
License: gpl-3.0
Keywords: EMPIRICAL MODE DECOMPOSITION,EMD,STATISTICAL EMPIRICAL MODE DECOMPOSITION,SEMD,ENHANCED EMPIRICAL MODE DECOMPOSITION,EEMD,ENSEMBLE EMPIRICAL MODE DECOMPOSITION,HILBERT TRANSFORM,TIME SERIES ANALYSIS,FILTERING,GRADUATION,WINSORIZATION,DOWNSAMPLING,SPLINES,KNOT OPTIMISATION,PYTHON,R,MATLAB,FULL-SPECTRUM ENSEMBLE EMPIRICAL MODE DECOMPOSITION,FSEEMD,COMPRESSIVE SAMPLING,COMPRESSIVE SAMPLING EMPIRICAL MODE DECOMPOSITION,CSEMD
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 3.7
License-File: LICENSE

AdvEMDpy is a Python library that performs Empirical Mode Decomposition with numerous algorithmic variations available at key stages of the core algorithm. This package was developed out of research performed by Cole van Jaarsveldt, Matthew Ames, Gareth W. Peters, and Mike Chantler.
