Publication date
January 2012
DOIAbstract
doi: 10.3389/fphys.2012.00141 Introduction to multifractal detrended fluctuation analysis in Matla
doi: 10.3389/fphys.2012.00141 Introduction to multifractal detrended fluctuation analysis in Matla
The Detrended Fluctuation Analysis (DFA) is a popular method for quantifying the self-similarity of ...
Detrended fluctuation analysis (DFA) is a popular tool in physiological and medical studies for esti...
Multifractal Detrended Fluctuation Analysis stands out as one of the most reliable methods for unvei...
A commentary on Introduction to multifractal detrended fluctuation analysis in Matlab by Ihlen, E. A...
Fractal structures are found in biomedical time series from a wide range of physiological phenomena....
Multifractal detrended fluctuation analysis (MFDFA) has become a central method to characterise the ...
doi:10.1088/1742-5468/2006/02/P02003 Abstract. We use multifractal detrended fluctuation analysis (M...
The detrending moving average (DMA) algorithm is a widely used technique to quantify the long-term c...
Application of the MultiFractal Detrended Fluctuation Analysis (MFDFA) on Time Serie
International audienceMultifractal analysis studies signals, functions, images or fields via the flu...
Multifractal detrended fluctuation analysis (MFDFA) method can examine higher-dimensional fractal an...
We focus on the importance of q moments range used within the multifractal detrended fluctuation ana...
We have numerically investigated the effects that observational correlated noises have on the genera...
Based on the Multifractal Detrended Fluctuation Analysis (MFDFA) and on the Wavelet Transform Modulu...
We develop a method for the multifractal characterization of nonstationary time series, which is bas...
The Detrended Fluctuation Analysis (DFA) is a popular method for quantifying the self-similarity of ...
Detrended fluctuation analysis (DFA) is a popular tool in physiological and medical studies for esti...
Multifractal Detrended Fluctuation Analysis stands out as one of the most reliable methods for unvei...
A commentary on Introduction to multifractal detrended fluctuation analysis in Matlab by Ihlen, E. A...
Fractal structures are found in biomedical time series from a wide range of physiological phenomena....
Multifractal detrended fluctuation analysis (MFDFA) has become a central method to characterise the ...
doi:10.1088/1742-5468/2006/02/P02003 Abstract. We use multifractal detrended fluctuation analysis (M...
The detrending moving average (DMA) algorithm is a widely used technique to quantify the long-term c...
Application of the MultiFractal Detrended Fluctuation Analysis (MFDFA) on Time Serie
International audienceMultifractal analysis studies signals, functions, images or fields via the flu...
Multifractal detrended fluctuation analysis (MFDFA) method can examine higher-dimensional fractal an...
We focus on the importance of q moments range used within the multifractal detrended fluctuation ana...
We have numerically investigated the effects that observational correlated noises have on the genera...
Based on the Multifractal Detrended Fluctuation Analysis (MFDFA) and on the Wavelet Transform Modulu...
We develop a method for the multifractal characterization of nonstationary time series, which is bas...
The Detrended Fluctuation Analysis (DFA) is a popular method for quantifying the self-similarity of ...
Detrended fluctuation analysis (DFA) is a popular tool in physiological and medical studies for esti...
Multifractal Detrended Fluctuation Analysis stands out as one of the most reliable methods for unvei...
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