Reshape scale method: A novel multi scale entropic analysis approach

Autor:	Payam Zandiyeh, V. von Tscharner
Rok vydání:	2013
Předmět:	Statistics and Probability Dependency (UML) Scale (ratio) Probability density function Orderliness Condensed Matter Physics computer.software_genre Standard deviation Sample entropy Data point Autoregressive model Statistical physics Data mining computer Mathematics
Zdroj:	Physica A: Statistical Mechanics and its Applications. 392:6265-6272
ISSN:	0378-4371
DOI:	10.1016/j.physa.2013.08.023
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::25c37c4cd38b01039d49c61939c33705 https://doi.org/10.1016/j.physa.2013.08.023 Zobrazit plný text záznamu Full Text from ScienceDirect