Approximate entropy (ApEn) is a recently developed statistic quantifying regularity and complexity, which appears to have potential application to a wide variety of relatively short (greater than 100 points) and noisy time‐series data. The development of ApEn was motivated by data length constraints...
摘要: Introduces approximate entropy as a quantification of regularity in time-series data. Potential application to a wide variety of relatively short and noisy time-series data; Relationship to other approaches; Marginal probabilities and full reconstruction; Comparison of two autocorrelated maps....
Introduces approximate entropy as a quantification of regularity in time-series data. Potential application to a wide variety of relatively short and noisy time-series data; Relationship to other approaches; Marginal probabilities and full reconstruction; Comparison of two autocorrelated maps.Pincus...
Approximate entropy (ApEn) as a complexity measure. Introduces approximate entropy as a quantification of regularity in time-series data. Potential application to a wide variety of relatively short and noisy... Pincus,Steve - 《Chaos》 被引量: 1152发表: 1995年 Pincus, S.M.: Approximate entropy...
Approximate entropy as a measure of system complexity Techniques to determine changing system complexity from data are evaluated. Convergence of a frequently used correlation dimension algorithm to a finite va... 被引量: 0发表: 0年 Physiological time-series analysis using approximate entropy and ...
Approximate entropy as a measure of system complexity 评分: 此文档为近似熵实现的最初思想的形成及计算方法 Approximate entropy complexity 2017-08-03 上传 大小:1128KB 所需: 10积分/C币 立即下载 基于Python的Django-vue学生成绩管理系统的设计与实现源码-说明文档-演示视频.zip ...
The approximate entropy is then calculated asapproxEnt=Φm−Φm+1where, Φm=(N−m+1)−1N−m+1∑i=1log(Ni) References [1] Pincus, Steven M. "Approximate entropy as a measure of system complexity."Proceedings of the National Academy of Sciences. 1991 88 (6) 2297-2301; doi:10....
Approximate entropy as a measure of system complexity. Techniques to determine changing system complexity from data are evaluated. Convergence of a frequently used correlation dimension algorithm to a finite va... Pincus,M S. - 《Proceedings of the National Academy of Sciences of the United States...
Approximate entropy as a measure of system complexity Techniques to determine changing system complexity from data are evaluated. Convergence of a frequently used correlation dimension algorithm to a finite va... 被引量: 0发表: 0年 Physiological time-series analysis using approximate entrop...
Approximate entropy (ApEn) and sample entropy (SampEn) are mathematical algorithms created to measure the repeatability or predictability within a time series. Both algorithms are extremely sensitive to their input parameters: m (length of the data segment being compared), r (similarity criterion), ...