Confidence bounds of recurrence-based complexity measures

被引：42

作者：

Schinkel, Stefan ^{[1
]}

Marwan, N. ^{[1
,2
]}

Dimigen, O. ^{[3
]}

Kurths, J. ^{[2
,4
]}

机构：

[1] Univ Potsdam, Interdisciplinary Ctr Dynam Complex Syst, Potsdam, Germany

[2] Potsdam Inst Climate Impact Res PIK, Potsdam, Germany

[3] Univ Potsdam, Dept Psychol, Potsdam, Germany

[4] Humboldt Univ, Dept Phys, Berlin, Germany

来源：

PHYSICS LETTERS A | 2009年 / 373卷 / 26期

关键词：

Recurrence Plots; Complexity measures; Confidence bounds; Single trial ERP; PLOTS;

D O I：

10.1016/j.physleta.2009.04.045

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

In the recent past, recurrence quantification analysis (RQA) has gained an increasing interest in various research areas. The complexity measures the RQA provides have been useful in describing and analysing a broad range of data. It is known to be rather robust to noise and nonstationarities. Yet, one key question in empirical research concerns the confidence bounds of measured data. In the present Letter we suggest a method for estimating the confidence bounds of recurrence-based complexity measures. We study the applicability of the suggested method with model and real-life data. (C) 2009 Elsevier B.V. All rights reserved.

引用

页码：2245 / 2250

页数：6

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