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http://hdl.handle.net/10397/4828
Title: | Surrogate test to distinguish between chaotic and pseudoperiodic time series | Authors: | Luo, X Nakamura, T Small, M |
Issue Date: | 24-Feb-2005 | 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. | Keywords: | Algorithms Computer simulation Correlation theory Data reduction Electrocardiography Orbits Spurious signal noise Time series analysis |
Publisher: | American Physical Society | Journal: | Physical review. E, Statistical, nonlinear, and soft matter physics | ISSN: | 1539-3755 | EISSN: | 1550-2376 | DOI: | 10.1103/PhysRevE.71.026230 | Rights: | Physical Review E © 2005 The American Physical Society. The Journal's web site is located at http://pre.aps.org/ |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
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Luo_Surrogate_Test_Pseudoperiodic.pdf | 277.59 kB | Adobe PDF | View/Open |
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