AdvEMDpy

Name	AdvEMDpy JSON
Version	0.0.17 JSON
	download
home_page	https://github.com/Cole-vJ/AdvEMDpy.git
Summary	Advanced Empirical Mode Decomposition package with numerous extensions to various aspects of core algorithm.
upload_time	2024-01-06 15:06:52
maintainer
docs_url	None
author	Cole van Jaarsveldt
requires_python
license	cc-by-nc-4.0
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
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            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.

            

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