https://github.com/ixjlyons/entro-py
Time series entropy measures implemented with numpy
https://github.com/ixjlyons/entro-py
Last synced: 12 months ago
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Time series entropy measures implemented with numpy
- Host: GitHub
- URL: https://github.com/ixjlyons/entro-py
- Owner: ixjlyons
- License: bsd-3-clause
- Created: 2016-01-23T00:55:08.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2022-02-12T18:07:37.000Z (over 4 years ago)
- Last Synced: 2025-03-06T11:29:45.723Z (over 1 year ago)
- Language: Python
- Size: 12.7 KB
- Stars: 1
- Watchers: 2
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
entro-py
========
entro-py computes entropy for time series analysis. Currently implemented
algorithms are FuzzyEn and SampEn, both of which are described/compared in
[Chen et al. 2009][ChenEtAl-2009]. Implementation has been "inspired" by and
tested against this [MATLAB code][matlab].
Dependencies
------------
* [numpy][numpy]
TODO
----
Items in order of importance
* Pass in arbitrary function for similarity measurement
* Pass 2D array and calculate entropy along a given axis
[ChenEtAl-2009]: http://dx.doi.org/10.1016/j.medengphy.2008.04.005
[matlab]: http://www.mathworks.com/matlabcentral/fileexchange/50289-a-set-of-entropy-measures-for-temporal-series--1d-signals-
[numpy]: http://www.numpy.org/