Application of Cross-correlation Analysis Method for Measurement of the Fluid Flow Rate Based on X-ray Radiation

This paper analyzed the influence of dollar on crude oil and gold based on the multifractal detrended partial cross-correlation analysis method. It showed that affected by the dollar, the crude oil and gold markets have a partial cross-correlation relationship which is stronger than their own cross-correlation. The partial cross-correlation is long-term and has multifractal characteristics. Through shuffled and Fourier-phase randomization, it is found that this multifractal feature is caused by the combined effect of the long-term cross-correlation between the returns and the fluctuation fat-tailed distribution, where the influence of the fat-tailed distribution is slightly greater than that of the long-term cross-correlation between the returns.

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Experimental investigation and modelling of microstructure degradation in a DS Ni-based superalloy using a quantitative cross-correlation analysis method

Journal of Alloys and Compounds ◽

10.1016/j.jallcom.2018.05.131 ◽

2018 ◽

Vol 762 ◽

pp. 488-499 ◽

Cited By ~ 11

Author(s):

Weiqing Huang ◽

Shaolin Li ◽

Xiaoguang Yang ◽

Duoqi Shi ◽

Hongyu Qi

Keyword(s):

Experimental Investigation ◽

Correlation Analysis ◽

Cross Correlation ◽

Analysis Method ◽

Cross Correlation Analysis ◽

Correlation Analysis Method

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Asymmetric Multifractal Analysis of Rebar Futures and Spot Market in China

Journal of Advanced Computational Intelligence and Intelligent Informatics ◽

10.20965/jaciii.2020.p0282 ◽

2020 ◽

Vol 24 (3) ◽

pp. 282-292

Author(s):

Qiaoyan Zhang ◽

◽

Lixian Wang ◽

Shang Jin ◽

Xiaozhen Hao ◽

...

Keyword(s):

Correlation Analysis ◽

Multifractal Analysis ◽

Cross Correlation ◽

Small Scale ◽

Spot Markets ◽

Analysis Method ◽

Denoising Method ◽

Window Technique ◽

Cross Correlation Analysis ◽

Correlation Analysis Method

In this study, a wavelet denoising method is first used to eliminate the influence of noise. Then, an overlapping smooth window technique is introduced into the asymmetric multifractal detrended cross-correlation analysis method, which was combined with the multiscale multifractal analysis method, resulting in the proposed asymmetric multiscale multifractal detrended cross-correlation analysis method. This method not only remedies the pseudo-fluctuation defect of the traditional method, but also explores the asymmetric multifractal cross-correlation between China’s rebar futures and spot markets at different scales. The results show the existence of an asymmetric multifractal cross-correlation between rebar futures and spot markets with upward and downward trends at different scales. This cross-correlation is highly complex at the small-scale, and more pronounced when the futures market is in an uptrend.

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X-Ray Cross-Correlation Analysis of Disordered Ensembles of Particles: Potentials and Limitations

Advances in Condensed Matter Physics ◽

10.1155/2013/959835 ◽

2013 ◽

Vol 2013 ◽

pp. 1-15 ◽

Cited By ~ 15

Author(s):

R. P. Kurta ◽

M. Altarelli ◽

I. A. Vartanyants

Keyword(s):

Correlation Analysis ◽

Disordered Systems ◽

Cross Correlation ◽

Structural Information ◽

Three Dimensional ◽

X Ray ◽

X Ray Scattering ◽

Cross Correlation Analysis ◽

2D And 3D ◽

Ray Scattering

Angular X-ray cross-correlation analysis (XCCA) is an approach to study the structure of disordered systems using the results of X-ray scattering experiments. In this paper we summarize recent theoretical developments related to the Fourier analysis of the cross-correlation functions. Results of our simulations demonstrate the application of XCCA to two- and three-dimensional (2D and 3D) disordered ensembles of particles. We show that the structure of a single particle can be recovered using X-ray data collected from a 2D disordered system of identical particles. We also demonstrate that valuable structural information about the local structure of 3D systems, inaccessible from a standard small-angle X-ray scattering experiment, can be resolved using XCCA.

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