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A set of Entropy measures for temporal series (1D signals)

version 1.0.0.0 (9.47 KB) by Jesús Monge-Álvarez
Some of the major entropy measures for non linear analisys of signals.

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Updated 27 Mar 2015

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In this file I offer an implementation for the major entropies measures of signals:
* Shannon entropy (SE).
* Approximate entropy (ApEn).
* Sample entropy (SampEn).
* Fuzzy entropy (FuzzyEn).
* Permutation entropy (PermEn).
* Conditional entropy (CE).
* Corrected conditional entropy (CCE)
Some of this functions employ other provided in this file. For instance, CCE uses CE and SE functions.
These algorithms can be employed as a non linear analysis of signals. All the source codes are properly commented in english and referenced to original indexed paper where each algoritm was introduced.

Any comment or suggestion is welcome !!!

Thanks,
Jesús Monge.

Cite As

Jesús Monge-Álvarez (2021). A set of Entropy measures for temporal series (1D signals) (https://www.mathworks.com/matlabcentral/fileexchange/50289-a-set-of-entropy-measures-for-temporal-series-1d-signals), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2013a
Compatible with any release
Platform Compatibility
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