Results 311 to 320 of about 225,313 (340)
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Detecting mental EEG properties using detrended fluctuation analysis
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005Based on detrended fluctuation analysis (DFA), we explore the characteristics of multichannel electroencephalogram (EEG), which is recorded from many subjects performing different mental tasks. The results show that mental EEG exhibits long-range power-law correlations by calculating its scaling exponents (alpha), which can reflect the kinds of mental ...
Zhaohui, Jiang +4 more
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Dynamics of atmospheres and oceans (Print), 2023
R. R. Devi, Surajit Chattopadhyay
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R. R. Devi, Surajit Chattopadhyay
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Multifractal Detrended Fluctuation Analysis of Network Traffic
2010 International Conference on Computational Intelligence and Software Engineering, 2010Whether network traffic in fine scales (below about 1 second) behaves multifractality is controversial in past studies. In recent years, the multifractal detrended fluctuation analysis (MFDFA) is widely used as a robust tool to investigate the scale behavior of non-stationary time series.
Hanlin Sun +3 more
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Segmented Multifractal Detrended Fluctuation Analysis in Key Economic Sectors
Fluctuation and Noise Letters, 2023Foued Saâdaoui
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Applications of Multifractal Detrended Fluctuation Analysis
Journal of Information and Computing ScienceIn recent years, multifractal detrended fluctuation analysis (MF-DFA) has become an important tool for detecting the scale and long correlation of non-stationary time series. With the continuous development of multifractal theory, researchers have widely applied it in physics, chemistry, biology, economy, etc.
Dongxu Dai +8 more
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Multifractal Detrended Fluctuation Analysis (MF-DFA)
2018The study of financial or crude oil markets is largely based on current main stream literature, whose fundamental assumption is that stock price (or returns) follows a normal distribution and price behavior obeys ‘random-walk’ hypothesis (RWH), which was first introduced by Bachelier (1900), since then it has been adopted as the essence of many asset ...
Guangxi Cao, Ling-Yun He, Jie Cao
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Nonlinear-analysis of human sleep EEG using detrended fluctuation analysis
Medical Engineering & Physics, 2004Quantification of the fractal scaling properties of human sleep EEG dynamics was sought and each normal sleep stage was compared with that of sleep apnea. The fractal scaling exponents that quantify power-law correlations were computed using detrended fluctuation analysis.
Jong-Min, Lee +4 more
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Bootstrap testing for detrended fluctuation analysis
Physica A: Statistical Mechanics and its Applications, 2006Abstract Detrended fluctuation analysis (DFA) is a scaling method that allows the detection of long memory in a time series. Until now no asymptotic distribution has been found for this statistic. The bootstrap technique allows the simulation of the probability distribution of any statistic.
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Nonlinear filtering properties of detrended fluctuation analysis
Physica A: Statistical Mechanics and its Applications, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ken Kiyono, Yutaka Tsujimoto
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