Article,

The point correlation dimension: Performance with nonstationary surrogate data and noise

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Integrative Physiological and Behavioral Science, 29 (3): 217-234 (1994)
DOI: 10.1007/BF02691327

Abstract

The dynamics of many biological systems have recently been attributed to low-dimensional chaos instead of high-dimensional noise, as previously thought. Because biological data are invariably nonstationary, especially when recorded over a long interval, the conventional measures of low-dimensional chaos (e.g., the correlation dimension algorithms) cannot be applied. A new algorithm, the point correction dimension (PD2

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