Recurrence quantification analysis and principal components in the detection of short complex signals

被引：122

作者：

Zbilut, JP

Giuliani, A

Webber, CL

机构：

[1] Rush Univ, Dept Physiol & Mol Biophys, Chicago, IL 60612 USA

[2] Ist Super Sanita, TCE, I-00161 Rome, Italy

[3] Loyola Univ, Stritch Sch Med, Dept Physiol, Maywood, IL 60153 USA

[4] Univ Roma La Sapienza, Dept Biochem, Rome, Italy

来源：

PHYSICS LETTERS A | 1998年 / 237卷 / 03期

关键词：

recurrence quantification analysis; recurrence plot; nonlinear dynamics; principal components; complexity; chaos;

D O I：

10.1016/S0375-9601(97)00843-8

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Recurrence plots were introduced to aid in the detection of signals in complicated data series. This effort was taken a step further by the quantification of recurrence plot elements. We now demonstrate the utility of combining recurrence quantification analysis with principal components analysis to allow for a probabilistic evaluation of the presence of deterministic signals in relatively short data lengths. (C) 1998 Elsevier Science B.V.

引用

页码：131 / 135

页数：5

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