Results 131 to 140 of about 629 (156)

Modified Model of Multiplication Cascade Image-Based 2D MF-DFA with Sign Retention

Fluctuation and Noise Letters, 2022
In this paper, we propose a two-dimensional multifractal sign retention detrending fluctuation analysis algorithm (2D MF-S-DFA), which takes the sign of the residual matrix into account when calculating the detrending fluctuation function in traditional 2D MF-DFA. We evaluate these two methods based on images constructed from [Formula: see text]-model
Yudong Zhang, Mengdie Yang, Jian Wang
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Automatic syllable segmentation algorithm of Chinese speech based on MF-DFA

Speech Communication, 2017
Abstract Automatic speech segmentation algorithm plays an important role in speech recognition and spoken term detection. A method called automatic syllable segmentation of Chinese speech based on multi-fractal detrended fluctuation analysis (MF-DFA) is explored in this study.
Shaofang He, Huan Zhao
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Multifractal Detrended Fluctuation Analysis (MF-DFA)

2018
The study of financial or crude oil markets is largely based on current main stream literature, whose fundamental assumption is that stock price (or returns) follows a normal distribution and price behavior obeys ‘random-walk’ hypothesis (RWH), which was first introduced by Bachelier (1900), since then it has been adopted as the essence of many asset ...
Guangxi Cao, Ling-Yun He, Jie Cao
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Multiscaling Analysis of Monthly Runoff Series Using Improved MF-DFA Approach

Water Resources Management, 2014
An improved multifractal detrended fluctuation analysis(MF-DFA) method is applied to analyze the long-term monthly runoff records of a hydrological station in the Yangtze River with seasonal trend eliminated, through which the long-range correlation and the multifractal characteristics have been found.
Xiaohui Yuan, Bin Ji, Hao Tian, Yuehua Huang   +3 more
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MF-DFA Analysis of Turbulent Transport Measured by a Multipurpose Probe

Chinese Physics Letters, 2015
The effect of time of applied bias on the edge turbulent transport is analyzed by the multi-fractal detrend fluctuation analysis (MF-DFA) method in the IR-T1 tokamak. The generalized Hurst exponents and the multifractal spectrum are computed by this method.
M. Lafouti, M. Ghoranneviss
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Brain MRIs classification based on 2D SWD-MF-DFA

Journal of Neuroscience Methods
To improve imaging classification accuracy, we modify the traditional 2D multifractal trend fluctuation analysis (MF-DFA) method to better preserve local feature values. Inspired by MF-DFA, we develop a novel method for extracting eigenvalues, enhancing the precision of imaging analysis.In this paper, we propose an enhanced algorithm building upon the ...
Jing, Wang, Xinpei, Wu, Haozhe, Wang, Jian, Wang   +3 more
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Automatic epileptic seizure detection in EEGs using MF-DFA, SVM based on cloud computing

Journal of X-Ray Science and Technology, 2017
BACKGROUND: Epilepsy is a chronic disease with transient brain dysfunction that results from the sudden abnormal discharge of neurons in the brain. Since electroencephalogram (EEG) is a harmless and noninvasive detection method, it plays an important role in the detection of neurological diseases.
Zhongnan, Zhang, Tingxi, Wen, Wei, Huang, Meihong, Wang, Chunfeng, Li   +4 more
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Performance assessment for aileron actuators based on MF-DFA and SOM neural network

2016 12th World Congress on Intelligent Control and Automation (WCICA), 2016
To improve the robustness of performance assessment for aileron actuators, a novel performance assessment for aileron actuators using multi-fractal detrended fluctuation analysis (MF-DFA) and self-organizing mapping (SOM) neural network is first proposed.
Hongmei Liu, Lianfeng Li, Chen Lu, Wanlin Zhao, Xuan Wang   +4 more
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Analysis of speech signals’ characteristics based on MF-DFA with moving overlapping windows

Physica A: Statistical Mechanics and its Applications, 2016
Abstract In this paper, multi-fractal characteristics of speech signals are analyzed based on MF-DFA, and it is found that the multi-fractal features are influenced greatly by frame length and noise, besides, there is a little difference between them among speech frames.
Huan Zhao, Shaofang He
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Are crude oil markets multifractal? Evidence from MF-DFA and MF-SSA perspectives

Physica A: Statistical Mechanics and its Applications, 2010
Abstract In this article, we investigated the multifractality and its underlying formation mechanisms in international crude oil markets, namely, Brent and WTI, which are the most important oil pricing benchmarks globally. We attempt to find the answers to the following questions: (1) Are those different markets multifractal?
Ling-Yun He, Shu-Peng Chen
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