期刊
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
卷 354, 期 -, 页码 182-198出版社
ELSEVIER
DOI: 10.1016/j.physa.2005.01.041
关键词
detrended fluctuation analysis; trends; embedding; singular-value decomposition
Detrended fluctuation analysis (DFA) has been proposed as a robust technique to determine possible long-range correlations in power-law processes (Phys. Rev. E 49 (1994) 1685-1989). However, recent studies have reported the susceptibility of DFA to trends [(Phys. Rev. E 64 (2001) 011114-011133)] which give rise to spurious crossovers and prevent reliable estimation of the scaling exponents. Inspired by these reports, we propose a technique based on singular-value decomposition (SVD) of the trajectory matrix to minimize the effect of linear, power-law, periodic and also quasi-periodic trends superimposed on long-range correlated power-law noise. The effectiveness of the technique is demonstrated on publicly available data sets [(Phys. Rev. E 64 (2001) 011114-011133)]. (c) 2005 Elsevier B.V. All rights reserved.
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