Results 161 to 170 of about 134,237 (204)

Performance improvement of MF-DFA on feature extraction of skin lesion images

Modern Physics Letters B, 2023
In this paper, we propose an improved algorithm based on the original two-dimensional (2D) multifractal detrended fluctuation analysis (2D MF-DFA) that involves increasing the number of cumulative summations in the computational steps of 2D MF-DFA. The proposed method aims to modify the distribution of the generalized Hurst exponent to ensure that ...
Jian Wang, Yudong Zhang, Zhaohu Wang, Wenjing Jiang, Mengdie Yang, Menghao Huang, Junseok Kim   +6 more
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Cryptocurrency momentum effect: DFA and MF-DFA analysis

Physica A: Statistical Mechanics and its Applications, 2019
Abstract Cryptocurrency has experienced the skyrocketing and falling back in 2018. Beyond the hype, the specific price movements of different cryptocurrencies should be investigated in a more careful way. Since the cryptocurrency market is a non-linear complex system which are not suitable analyzed by tradition methods, this paper introduces methods ...
Qing Cheng, Xinyuan Liu, Xiaowu Zhu
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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 0003
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AUTOMATED CLASSIFICATION FOR BRAIN MRIS BASED ON 2D MF-DFA METHOD

Fractals, 2020
Magnetic resonance image (MRI) is an important tool to diagnose human diseases effectively. It is very important for research and clinical application to classify the normal and abnormal human brain MRI images automatically. In this paper, an accurate and efficient technique is proposed to extract features of MRIs and classify these images into normal
JIAN WANG, WEI SHAO, JUNSEOK KIM
openaire   +1 more source

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
openaire   +1 more source

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
exaly   +2 more sources

Traffic Flow Volume Fluctuation Analysis using MF-DFA

International Conference on Transportation Engineering 2009, 2009
Abundant observations have shown that road traffic flow contains complex fluctuations. One frequently mentioned question is: whether traffic flow belongs to 1/f fluctuation and in which time-scale region the 1/f fluctuation appears? The answer to this problem is useful, since it may help to distinguish the implicit short-range/long-range correlation ...
Yin Wang, Jianming Hu, Li Li, Yudong Chen, Zhiheng Li, Danya Yao   +5 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
openaire   +1 more source

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
openaire   +2 more sources

Tag-DFA for Improved DFA Compression in Deep Packet Inspection [PDF]

Procedia Engineering, 2012
Deterministic Finite Automatons (DFAs) are widely used to perform regular expression based pattern matching for network security. Most of DFA compression algorithms consider only one type of redundant information in DFA. After a comprehensive analysis of
Xiaojun Wang
exaly   +2 more sources