A Fast Algorithm for Estimating Two-Dimensional Sample Entropy Based on an Upper Confidence Bound and Monte Carlo Sampling

A Fast Algorithm for Estimating Two-Dimensional Sample Entropy Based on an Upper Confidence Bound and Monte Carlo Sampling

The two-dimensional sample entropy marks a significant advance in evaluating the regularity and predictability of images in the information domain. Unlike the direct computation of sample entropy, which incurs a time complexity of <inline-formula><math xmlns="http://www.w3.org/1998/Mat...

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Bibliographic Details
Main Authors: Zeheng Zhou, Ying Jiang, Weifeng Liu, Ruifan Wu, Zerong Li, Wenchao Guan
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Entropy
Subjects:
sample entropy
Monte Carlo algorithm
upper confidence bound strategy
Online Access:https://www.mdpi.com/1099-4300/26/2/155

Internet

https://www.mdpi.com/1099-4300/26/2/155

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