Wavelet versus Detrended Fluctuation Analysis of multifractal structures [PDF]
We perform a comparative study of applicability of the Multifractal Detrended Fluctuation Analysis (MFDFA) and the Wavelet Transform Modulus Maxima (WTMM) method in proper detecting of mono- and multifractal character of data. We quantify the performance
B. B. Mandelbrot +6 more
core +5 more sources
Multifractal Detrended Fluctuation Analysis of Human gait Diseases [PDF]
IIn this paper multifractal detrended fluctuation analysis is used to study the human gait time series for normal and diseased sets. It is observed that long range correlation is primarily responsible for the origin of multifractality.
Srimonti eDutta +2 more
doaj +5 more sources
Effect of Trends on Detrended Fluctuation Analysis [PDF]
Detrended fluctuation analysis (DFA) is a scaling analysis method used to estimate long-range power-law correlation exponents in noisy signals. Many noisy signals in real systems display trends, so that the scaling results obtained from the DFA method ...
A. Bunde +62 more
core +6 more sources
Effect of nonstationarities on detrended fluctuation analysis [PDF]
Detrended fluctuation analysis (DFA) is a scaling analysis method used to quantify long-range power-law correlations in signals. Many physical and biological signals are ``noisy'', heterogeneous and exhibit different types of nonstationarities, which can
A. Bunde +64 more
core +5 more sources
Multifractal Flexibly Detrended Fluctuation Analysis [PDF]
Multifractal time series analysis is a approach that shows the possible complexity of the system. Nowadays, one of the most popular and the best methods for determining multifractal characteristics is Multifractal Detrended Fluctuation Analysis (MFDFA ...
Rak, Rafal, Zięba, Pawel
core +2 more sources
Detrended fluctuation analysis: A scale-free view on neuronal oscillations [PDF]
Recent years of research have shown that the complex temporal structure of ongoing oscillations is scale-free and characterized by long-range temporal correlations.
Richard eHardstone +7 more
doaj +2 more sources
Multifractal detrended fluctuation analysis of human EEG: preliminary investigation and comparison with the wavelet transform modulus maxima technique. [PDF]
Recently, many lines of investigation in neuroscience and statistical physics have converged to raise the hypothesis that the underlying pattern of neuronal activation which results in electroencephalography (EEG) signals is nonlinear, with self-affine ...
Todd Zorick, Mark A Mandelkern
doaj +2 more sources
EEG based cognitive task classification using multifractal detrended fluctuation analysis [PDF]
G. Gaurav, R. S. Anand, Vinod Kumar
semanticscholar +2 more sources
Multifractal Detrended Fluctuation Analysis of Temperature Reanalysis Data over Greece [PDF]
The Multifractal Detrended Fluctuation Analysis (MF-DFA) is used to examine the scaling behavior and the multifractal characteristics of the mean daily temperature time series of the ERA-Interim reanalysis data for a domain centered over Greece.
Kostas Philippopoulos +4 more
doaj +2 more sources
Objective differentiation of neonatal EEG background grades using detrended fluctuation analysis [PDF]
A quantitative and objective assessment of background electroencephalograph (EEG) in sick neonates remains an everyday clinical challenge. We studied whether long range temporal correlations quantified by detrended fluctuation analysis (DFA) could be ...
Vladimir eMatic +12 more
doaj +2 more sources

