Minimizing the effect of trends on detrended fluctuation analysis of long-range correlated noise

Details Minimizing the effect of trends on detrended fluctuation analysis of long-range correlated noise Minimizing the effect of trends on detrended fluctuation analysis of long-range correlated noise

2004-12-29

arxiv.org/abs/cond-mat/0412732v1

Physica A, 2005

Physics

Condensed Matter

Statistical Mechanics

15 pages, 13 Figures

Scientific paper

10.1016/j.physa.2005.01.041

Detrended fluctuation analysis (DFA) has been proposed as a robust technique to determine possible long-range correlations in power-law processes [1]. However, recent studies have reported the susceptibility of DFA to trends [2] 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 [2].

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