Time series entropy measurement

feature models; squared, circled, inclined and grid entropy measurement
274 Downloads
Aktualisiert 12 Mär 2021

Novel feature models; circled entropy measurement (CEM) that calculates data
fall over circled pieced regions, squared entropy measurement (SEM) that calculates data fall over squared pieced regions, inclined entropy measurement (IEM) that calculates
data fall over inclined pieced regions, grid entropy measurement (GEM) that calculates data fall over grid pieced regions in secon-order difference plot (SODP) were introduced.

entropyM main function. applies several entropy measurements
nodp function performs difference plot operation throught given vector X
normD lnear normalization

please gently cite
https://arxiv.org/abs/1907.05888
"Regularized HessELM and Inclined Entropy Measurement for Congestive Heart Failure Prediction", 2019

Zitieren als

Apdullah YAYIK (2024). Time series entropy measurement (https://github.com/apdullahyayik/entropy-measurements), GitHub. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2019a
Kompatibel mit allen Versionen
Plattform-Kompatibilität
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Versionen, die den GitHub-Standardzweig verwenden, können nicht heruntergeladen werden

Version Veröffentlicht Versionshinweise
1.0.1

nodp and normD functions are added

1.0.0

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.