Simpler methods do it better: Success of Recurrence Quantification Analysis as a general purpose data analysis tool

被引：45

作者：

Webber, Charles L., Jr. ^{[1
]}

Marwan, Norbert ^{[2
]}

Facchini, Angelo ^{[3
,4
]}

Giuliani, Alessandro ^{[5
]}

机构：

[1] Loyola Univ, Med Ctr, Dept Cell & Mol Physiol, Maywood, IL 60153 USA

[2] Potsdam Inst Climate Impact Res PIK, D-14412 Potsdam, Germany

[3] Univ Siena, Dept Informat Engn, I-53100 Siena, Italy

[4] Univ Siena, Ctr Study Complex Syst, I-53100 Siena, Italy

[5] Ist Super Sanita, Environm & Hlth Dept, I-00161 Rome, Italy

来源：

PHYSICS LETTERS A | 2009年 / 373卷 / 41期

关键词：

TIME-SERIES; PLOTS; SYSTEMS;

D O I：

10.1016/j.physleta.2009.08.052

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Over the last decade, Recurrence Quantification Analysis (RQA) has become a new standard tool in the toolbox of nonlinear methodologies. In this Letter we trace the history and utility of this powerful tool and cite some common applications. RQA continues to wend its way into numerous and diverse fields of study. (C) 2009 Elsevier B.V. All rights reserved.

引用

页码：3753 / 3756

页数：4

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