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Reshape scale method: A novel multi scale entropic analysis approach

机译:重塑比例尺方法:一种新颖的多尺度熵分析方法

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摘要

The Reshape Scale (RS) method was introduced in this article as a novel approach to perform multi scale transition of sample entropy. This method was able to quantify the orderliness in the signal by determining the distance over which the subsequent data points can remain affiliated to one another. Entropic Half Life (EnHL) was introduced to characterize such an affiliation. The method was tested for 1/f ~α processes for different α values. Furthermore, the dependency of the multi scale entropy analysis developed by Costa et al. (2002) [6] to the probability density function and the standard deviation of autoregressive signals was studied and discussed.
机译:本文介绍了“重塑比例”(RS)方法,这是一种执行样本熵的多尺度转换的新颖方法。通过确定距离,后续数据点可以保持彼此关联,该方法能够量化信号中的有序性。引入熵半衰期(EnHL)来表征这种从属关系。针对不同的α值,对1 / f〜α过程进行了测试。此外,Costa等人开发的多尺度熵分析的依赖性。 (2002)[6]对概率密度函数和自回归信号的标准偏差进行了研究和讨论。

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