image thumbnail

Time series entropy measurement

version 1.0.1 (3.65 KB) by Apdullah YAYIK
feature models; squared, circled, inclined and grid entropy measurement

166 Downloads

Updated 12 Mar 2021

From GitHub

View license on GitHub

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

Cite As

Apdullah YAYIK (2021). Time series entropy measurement (https://github.com/apdullahyayik/entropy-measurements), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2019a
Compatible with any release
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.