doi:10.1088/1742-5468/2006/02/P02003 Abstract. We use multifractal detrended fluctuation analysis (MF-DFA), to study sunspot number fluctuations. The result of the MF-DFA shows that there are three crossover timescales in the fluctuation function. We discuss how the existence of the crossover timescales is related to a sinusoidal trend. Using Fourier detrended fluctuation analysis, the sinusoidal trend is eliminated. The Hurst exponent of the time series without the sinusoidal trend is 0.12 ± 0.01. Also we find that these fluctuations have multifractal nature. Comparing the MF-DFA results for the remaining data set to those for shuffled and surrogate series, we conclude that its multifractal nature is almost entirely due to long range corre...
Based on the rigorous mathematical arguments formulated within the Multifractal Detrended Fluctuatio...
We investigate multifractal properties of commodity time series using multifractal detrended fluctua...
This paper investigates the nature of the fluctuation of the daily average Solar wind speed time ser...
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...
We develop a criterion based on a brute-force algorithm to systematically determine optimal fitting ...
Multifractal detrended fluctuation analysis (MFDFA) method can examine higher-dimensional fractal an...
The multifractal properties of the daily solar X-ray brightness, X<sub><i>l</i><...
We have numerically investigated the effects that observational correlated noises have on the genera...
AbstractThe interest in the relation between the solar activity and climate change is increasing. As...
The detrending moving average (DMA) algorithm is a widely used technique to quantify the long-term c...
Fractal structures are found in biomedical time series from a wide range of physiological phenomena....
This paper reports the multifractal characteristics of lengthy PM10 time series from five stations i...
doi: 10.3389/fphys.2012.00141 Introduction to multifractal detrended fluctuation analysis in Matla
International audienceMultifractal analysis studies signals, functions, images or fields via the flu...
Based on the rigorous mathematical arguments formulated within the Multifractal Detrended Fluctuatio...
We investigate multifractal properties of commodity time series using multifractal detrended fluctua...
This paper investigates the nature of the fluctuation of the daily average Solar wind speed time ser...
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...
We develop a criterion based on a brute-force algorithm to systematically determine optimal fitting ...
Multifractal detrended fluctuation analysis (MFDFA) method can examine higher-dimensional fractal an...
The multifractal properties of the daily solar X-ray brightness, X<sub><i>l</i><...
We have numerically investigated the effects that observational correlated noises have on the genera...
AbstractThe interest in the relation between the solar activity and climate change is increasing. As...
The detrending moving average (DMA) algorithm is a widely used technique to quantify the long-term c...
Fractal structures are found in biomedical time series from a wide range of physiological phenomena....
This paper reports the multifractal characteristics of lengthy PM10 time series from five stations i...
doi: 10.3389/fphys.2012.00141 Introduction to multifractal detrended fluctuation analysis in Matla
International audienceMultifractal analysis studies signals, functions, images or fields via the flu...
Based on the rigorous mathematical arguments formulated within the Multifractal Detrended Fluctuatio...
We investigate multifractal properties of commodity time series using multifractal detrended fluctua...
This paper investigates the nature of the fluctuation of the daily average Solar wind speed time ser...