Results 21 to 30 of about 22,027,746 (211)

Multifractal Detrended Cross-Correlation Analysis of Global Methane and Temperature

open access: yesRemote Sensing, 2020
Multifractal Detrended Cross-Correlation Analysis (MF-DCCA) was applied to time series of global methane concentrations and remotely-sensed temperature anomalies of the global lower and mid-troposphere, with the purpose of investigating the multifractal ...
Chris G. Tzanis   +3 more
doaj   +1 more source

The Dynamic Effects of COVID-19 and the March 2020 Crash on the Multifractality of NASDAQ Insurance Stock Markets

open access: yesFractal and Fractional, 2023
Triggered by COVID-19, one of the most dramatic crashes in the stock market in history occurred in March 2020. The sharp reductions in NASDAQ insurance stock indexes were observed after the occurrence of COVID-19 and in March 2020.
Xing Li, Fang Su
doaj   +1 more source

Multifractal analysis of solar flare indices and their horizontal visibility graphs [PDF]

open access: yesNonlinear Processes in Geophysics, 2012
The multifractal properties of the daily solar X-ray brightness, X<sub><i>l</i></sub> and X<sub><i>s</i></sub>, during the period from 1 January 1986 to 31 December 2007 which includes two solar cycles are ...
Z. G. Yu, V. Anh, R. Eastes, D.-L. Wang
doaj   +1 more source

Multifractal Characteristics Analysis Based on Slope Distribution Probability in the Yellow River Basin, China

open access: yesISPRS International Journal of Geo-Information, 2021
Multifractal theory provides a reliable method for the scientific quantification of the geomorphological features of basins. However, most of the existing research has investigated small and medium-sized basins rather than complex and large basins.
Zilong Qin, Jinxin Wang, Yan Lu
doaj   +1 more source

Multifractal Analysis on the Sphere [PDF]

open access: yes, 2008
A new generation of instruments in astrophysics or vision now provide spherical data. These spherical data may present a self- similarity property while no spherical analysis tool is yet available to characterize this property. In this paper we present a first numerical study of the extension of multifractal analysis onto the sphere using spherical ...
Koenig, Emilie, Chainais, Pierre
openaire   +2 more sources

Hyperspectral image analysis using multifractal attributes [PDF]

open access: yes, 2015
International audienceThe increasing spatial resolution of hyperspectral remote sensors requires the development of new processing methods capable of combining both spectral and spatial information.In this article, we focus on the spatial component and ...
Mclaughlin, Stephen   +4 more
core   +7 more sources

The Role of Information in Managing Interactions from a Multifractal Perspective

open access: yesEntropy, 2021
In the framework of the multifractal hydrodynamic model, the correlations informational entropy–cross-entropy manages attractive and repulsive interactions through a multifractal specific potential.
Maricel Agop   +9 more
doaj   +1 more source

Generalized energy inequalities and higher multifractal moments [PDF]

open access: yes, 2014
We present a class of generalized energy inequalities and indicate their use in investigating higher multifractal moments, in particular Lq-dimensions of images of measures under Brownian processes, Lq-dimensions of almost self-affine measures, and moments
Falconer, Kenneth John, Kenneth Falconer
core   +1 more source

Multifractal analysis of discretized X-ray CT images for the characterization of soil macropore structures [PDF]

open access: yes, 2010
A correct statistical model of soil pore structure can be critical for understanding flow and transport processes in soils, and creating synthetic soil pore spaces for hypothetical and model testing, and evaluating similarity of pore spaces of different ...
M. Tuller   +13 more
core   +1 more source

Multifractal detrended fluctuation analysis of human EEG: preliminary investigation and comparison with the wavelet transform modulus maxima technique.

open access: yesPLoS ONE, 2013
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   +1 more source

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