Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/4828
Title: Surrogate test to distinguish between chaotic and pseudoperiodic time series
Authors: Luo, Xiaodong
Nakamura, Tomomichi
Small, Michael
Subjects: Algorithms
Computer simulation
Correlation theory
Data reduction
Electrocardiography
Orbits
Spurious signal noise
Time series analysis
Issue Date: 24-Feb-2005
Publisher: American Physical Society
Source: Physical review E, statistical, nonlinear, and soft matter physics, Feb. 2005, v. 71, no. 2, 026230, p. 1-8.
Abstract: In this paper a different algorithm is proposed to produce surrogates for pseudoperiodic time series. By imposing a few constraints on the noise components of pseudoperiodic data sets, we devise an effective method to generate surrogates. Unlike other algorithms, this method properly copes with pseudoperiodic orbits contaminated with linear colored observational noise. We will demonstrate the ability of this algorithm to distinguish chaotic orbits from pseudoperiodic orbits through simulation data sets from the Rössler system. As an example of application of this algorithm, we will also employ it to investigate a human electrocardiogram record.
Rights: Physical Review E © 2005 The American Physical Society. The Journal's web site is located at http://pre.aps.org/
Type: Journal/Magazine Article
URI: http://hdl.handle.net/10397/4828
DOI: 10.1103/PhysRevE.71.026230
ISSN: 1539-3755 (print)
1550-2376 (online)
Appears in Collections:EIE Journal/Magazine Articles

Files in This Item:
File Description SizeFormat 
Luo_Surrogate_Test_Pseudoperiodic.pdf277.59 kBAdobe PDFView/Open


All items in the PolyU Institutional Repository are protected by copyright, with all rights reserved, unless otherwise indicated. No item in the PolyU IR may be reproduced for commercial or resale purposes.