Open AccessEffects of different trends on moving cut data-approximate entropy
Author(s) -
Hongmei Jin,
Wenping He,
Wei Hou,
Daquan Zhang
Publication year - 2012
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.61.069201
Subject(s) - trend analysis , entropy (arrow of time) , nonlinear system , computer science , time series , series (stratigraphy) , mathematics , statistical physics , statistics , geology , physics , quantum mechanics , paleontology
Various trends exist in many observation data, such as periodical trend caused by seasonal variation, linear trend and polynomial trend brought about by global warming. In the present paper, the effects of different trends on moving cut data-approximate entropy are investigated. The numerical tests on model time series indicate that the detection results of moving cut data-approximate entropy are little affected by periodical trend, linear trend and nonlinear trend. The reliability of abrupt change detection of moving cut data-approximate entropy is demonstrated, which provides an experimental basis for the wide applications of the present method in real observation data.