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Visibility algorithms: A short review
Disregarding any underlying process (and therefore any physical, chemical, economical or
whichever meaning of its mere numeric values), we can consider a time series just as an …
whichever meaning of its mere numeric values), we can consider a time series just as an …
Detrending moving average algorithm for multifractals
GF Gu, WX Zhou - Physical Review E—Statistical, Nonlinear, and Soft …, 2010 - APS
The detrending moving average (DMA) algorithm is a widely used technique to quantify the
long-term correlations of nonstationary time series and the long-range correlations of fractal …
long-term correlations of nonstationary time series and the long-range correlations of fractal …
Multifractal detrending moving-average cross-correlation analysis
There are a number of situations in which several signals are simultaneously recorded in
complex systems, which exhibit long-term power-law cross correlations. The multifractal …
complex systems, which exhibit long-term power-law cross correlations. The multifractal …
The visibility graph: A new method for estimating the Hurst exponent of fractional Brownian motion
Fractional Brownian motion (fBm) has been used as a theoretical framework to study real-
time series appearing in diverse scientific fields. Because of its intrinsic nonstationarity and …
time series appearing in diverse scientific fields. Because of its intrinsic nonstationarity and …
Detrended partial cross-correlation analysis of two nonstationary time series influenced by common external forces
When common factors strongly influence two power-law cross-correlated time series
recorded in complex natural or social systems, using detrended cross-correlation analysis …
recorded in complex natural or social systems, using detrended cross-correlation analysis …
Comparing the performance of FA, DFA and DMA using different synthetic long-range correlated time series
Notwithstanding the significant efforts to develop estimators of long-range correlations (LRC)
and to compare their performance, no clear consensus exists on what is the best method …
and to compare their performance, no clear consensus exists on what is the best method …
Multifractal height cross-correlation analysis: A new method for analyzing long-range cross-correlations
L Kristoufek - Europhysics Letters, 2011 - iopscience.iop.org
We introduce a new method for the detection of long-range cross-correlations and
multifractality—multifractal height cross-correlation analysis (MF-HXA)—based on scaling of …
multifractality—multifractal height cross-correlation analysis (MF-HXA)—based on scaling of …
Fractional Brownian motion with random Hurst exponent: Accelerating diffusion and persistence transitions
Fractional Brownian motion, a Gaussian non-Markovian self-similar process with stationary
long-correlated increments, has been identified to give rise to the anomalous diffusion …
long-correlated increments, has been identified to give rise to the anomalous diffusion …
Dynamical generalized Hurst exponent as a tool to monitor unstable periods in financial time series
We investigate the use of the Hurst exponent, dynamically computed over a weighted
moving time-window, to evaluate the level of stability/instability of financial firms. Financial …
moving time-window, to evaluate the level of stability/instability of financial firms. Financial …
Fractal and multifractal analysis of LiF thin film surface
Fractal and multifractal analysis is performed on the atomic force microscopy (AFM) images
of the surface morphologies of the LiF thin films of thickness 10nm, 20nm, and 40nm …
of the surface morphologies of the LiF thin films of thickness 10nm, 20nm, and 40nm …