Publication date
January 2015
DOIAbstract
A commentary on Introduction to multifractal detrended fluctuation analysis in Matlab by Ihlen, E. A. F. (2012). Front. Physiol. 3:141. doi: 10.3389/fphys.2012.00141 Multifractal formalism and analysi
A commentary on Introduction to multifractal detrended fluctuation analysis in Matlab by Ihlen, E. A. F. (2012). Front. Physiol. 3:141. doi: 10.3389/fphys.2012.00141 Multifractal formalism and analysi
Some physiological series, like the cardiovascular signals, show multifractal structures that depend...
Multifractal Detrended Fluctuation Analysis stands out as one of the most reliable methods for unvei...
This paper has two main objectives. First, it develops the multifractal formalism in a context suita...
doi: 10.3389/fphys.2012.00141 Introduction to multifractal detrended fluctuation analysis in Matla
Fractal structures are found in biomedical time series from a wide range of physiological phenomena....
doi:10.1088/1742-5468/2006/02/P02003 Abstract. We use multifractal detrended fluctuation analysis (M...
Multifractal detrended fluctuation analysis (MFDFA) has become a central method to characterise the ...
International audienceMultifractal analysis studies signals, functions, images or fields via the flu...
We have numerically investigated the effects that observational correlated noises have on the genera...
The paper On the multifractal nature of fully developed turbulence and chaotic systems, by Benzi et ...
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...
The detrending moving average (DMA) algorithm is a widely used technique to quantify the long-term c...
We have studied the effect of fluctuations on multifractals. Averaging over the fluctuations leads t...
The multi-fractal aspects of the intermittency corrections to the spectrum of temperature fluctuatio...
Some physiological series, like the cardiovascular signals, show multifractal structures that depend...
Multifractal Detrended Fluctuation Analysis stands out as one of the most reliable methods for unvei...
This paper has two main objectives. First, it develops the multifractal formalism in a context suita...
doi: 10.3389/fphys.2012.00141 Introduction to multifractal detrended fluctuation analysis in Matla
Fractal structures are found in biomedical time series from a wide range of physiological phenomena....
doi:10.1088/1742-5468/2006/02/P02003 Abstract. We use multifractal detrended fluctuation analysis (M...
Multifractal detrended fluctuation analysis (MFDFA) has become a central method to characterise the ...
International audienceMultifractal analysis studies signals, functions, images or fields via the flu...
We have numerically investigated the effects that observational correlated noises have on the genera...
The paper On the multifractal nature of fully developed turbulence and chaotic systems, by Benzi et ...
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...
The detrending moving average (DMA) algorithm is a widely used technique to quantify the long-term c...
We have studied the effect of fluctuations on multifractals. Averaging over the fluctuations leads t...
The multi-fractal aspects of the intermittency corrections to the spectrum of temperature fluctuatio...
Some physiological series, like the cardiovascular signals, show multifractal structures that depend...
Multifractal Detrended Fluctuation Analysis stands out as one of the most reliable methods for unvei...
This paper has two main objectives. First, it develops the multifractal formalism in a context suita...
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