Academic literature on the topic 'Detrended fractal analysis'
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Journal articles on the topic "Detrended fractal analysis"
Qiu, Xiao Hong, Yong Bo Tan, and Bo Li. "Fractal Analysis of the Optimal Objective Function." Applied Mechanics and Materials 519-520 (February 2014): 811–15. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.811.
Full textZhang, Xi, Xu Wu, Linlin Zhang, and Zhonglu Chen. "The Evaluation of Mean-Detrended Cross-Correlation Analysis Portfolio Strategy for Multiple risk Assets." Evaluation Review 46, no. 2 (February 3, 2022): 138–64. http://dx.doi.org/10.1177/0193841x221078642.
Full textCabrera-Brito, Laura, German Rodriguez, Luis García-Weil, Mercedes Pacheco, Esther Perez, and Joanna J. Waniek. "Fractal Analysis of Deep Ocean Current Speed Time Series." Journal of Atmospheric and Oceanic Technology 34, no. 4 (April 2017): 817–27. http://dx.doi.org/10.1175/jtech-d-16-0098.1.
Full textZHANG, JUNHUAN, and JUN WANG. "FRACTAL DETRENDED FLUCTUATION ANALYSIS OF CHINESE ENERGY MARKETS." International Journal of Bifurcation and Chaos 20, no. 11 (November 2010): 3753–68. http://dx.doi.org/10.1142/s0218127410028082.
Full textKONG, QINGGE, QING YU, MEIFENG DAI, YUE ZONG, XIAODONG WANG, JIANZHONG JIANG, and HUOJUN RUAN. "MULTIFRACTAL DETRENDED FLUCTUATION ANALYSIS BASED ON PSEUDO-BILINEAR FRACTAL INTERPOLATION FUNCTIONS ON METALLIC GLASSES." Fractals 26, no. 04 (August 2018): 1850047. http://dx.doi.org/10.1142/s0218348x18500470.
Full textZhang, Daoming, Cong Wang, Chuangye Li, and Wei Dai. "Multi-fractal detrended fluctuation half-spectrum analysis of HRV." Journal of Engineering 2019, no. 22 (November 1, 2019): 8315–18. http://dx.doi.org/10.1049/joe.2019.1067.
Full textTu, Tongbi, Ali Ercan, and M. Levent Kavvas. "Fractal scaling analysis of groundwater dynamics in confined aquifers." Earth System Dynamics 8, no. 4 (October 24, 2017): 931–49. http://dx.doi.org/10.5194/esd-8-931-2017.
Full textWan, Li, Peng Chen, and Zhao Xian Gong. "Quantifying Fractal Dynamics of Metallogenic Systems with Detrended Fluctuation Analysis." Applied Mechanics and Materials 249-250 (December 2012): 26–30. http://dx.doi.org/10.4028/www.scientific.net/amm.249-250.26.
Full textLi, Zhongwei, and You-Kuan Zhang. "Quantifying fractal dynamics of groundwater systems with detrended fluctuation analysis." Journal of Hydrology 336, no. 1-2 (March 2007): 139–46. http://dx.doi.org/10.1016/j.jhydrol.2006.12.017.
Full textArsac, Laurent M., and Véronique Deschodt-Arsac. "Detrended fluctuation analysis in a simple spreadsheet as a tool for teaching fractal physiology." Advances in Physiology Education 42, no. 3 (September 1, 2018): 493–99. http://dx.doi.org/10.1152/advan.00181.2017.
Full textDissertations / Theses on the topic "Detrended fractal analysis"
Jaskowak, Daniel Joseph. "Detecting Transient Changes in Gait Using Fractal Scaling of Gait Variability in Conjunction with Gaussian Continuous Wavelet Transform." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/87393.
Full textMaster of Science
Fitness trackers have become widely accessible and easy to use. So much so that athletic teams have been using them to track activity throughout the season. Researchers are able to manipulate data generated from the fitness monitors to assess many different variables including gait. Monitoring gait may generate important information about the condition of the individual. As a person fatigues, running form is theorized to breakdown, which increases injury risk. Therefore the ability to monitor gait may be advantageous in preventing injury. The purpose of this study is to show that the methods in this study are reproducible, respond reasonably to changes in speed, and to observe the changes of gait in the presence of fatigue or on tired legs. Three analyses are used in this study. The first method called autocorrelation, overlays acceleration signals of consecutive foot strikes, and determines the similarity between them. The second method utilizes a wave transformation technique that is able to determine foot contact times. The final method attempts to determine any pattern in the running stride. This method looks for changes in the structure of the pattern. Less structure would indicate a stride that is fatigued. The results showed that the methods of gait analysis used in this study were reproducible and responded appropriately with changes in speed. Small changes in gait were observed due to the presence of fatigue. Further investigation into the use of these methods to determine changes in gait due to the presence of fatigue are warranted.
Scipioni, Angel. "Contribution à la théorie des ondelettes : application à la turbulence des plasmas de bord de Tokamak et à la mesure dimensionnelle de cibles." Thesis, Nancy 1, 2010. http://www.theses.fr/2010NAN10125.
Full textThe necessary scale-based representation of the world leads us to explain why the wavelet theory is the best suited formalism. Its performances are compared to other tools: R/S analysis and empirical modal decomposition method (EMD). The great diversity of analyzing bases of wavelet theory leads us to propose a morphological approach of the analysis. The study is organized into three parts. The first chapter is dedicated to the constituent elements of wavelet theory. Then we will show the surprising link existing between recurrence concept and scale analysis (Daubechies polynomials) by using Pascal's triangle. A general analytical expression of Daubechies' filter coefficients is then proposed from the polynomial roots. The second chapter is the first application domain. It involves edge plasmas of tokamak fusion reactors. We will describe how, for the first time on experimental signals, the Hurst coefficient has been measured by a wavelet-based estimator. We will detail from fbm-like processes (fractional Brownian motion), how we have established an original model perfectly reproducing fBm and fGn joint statistics that characterizes magnetized plasmas. Finally, we will point out the reasons that show the lack of link between high values of the Hurst coefficient and possible long correlations. The third chapter is dedicated to the second application domain which is relative to the backscattered echo analysis of an immersed target insonified by an ultrasonic plane wave. We will explain how a morphological approach associated to a scale analysis can extract the diameter information
Wang, Yi-En, and 王以恩. "The Detection of multi-fractal structure In Foreign Exchange Rate Market By Using Detrended Fluctuation Analysis." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/47505770414295541941.
Full text銘傳大學
財務金融學系碩士班
101
In the natural science, there are many ways for quantitative analysis in knowing the state of series. In the situation, Detrended fluctuation analysis, DFA, is one coming from fractal theory and is practical in the series of fractal and long memory. This tool is good at detect unstable series changing. We expect to provide the trace for system financial theory to introduce new models. The aim of the analysis is to understand the exchange rate by using Detrended fluctuation analysis, DFA, for analyzing the reality of the state in Taiwan. By observing the change of Hurst exponent, we can understand the difference between countries in multi-fractal characteristic and multi-fractal fluctuation.
Santos, Maria Marta Oliveira Antunes dos. "Study of the electromyographic signal dynamic behavior in Amyotrophic Lateral Sclerosis (ALS)." Master's thesis, 2014. http://hdl.handle.net/10362/14461.
Full textBook chapters on the topic "Detrended fractal analysis"
Subhakar, D., and E. Chandrasekhar. "Detrended Fluctuation Analysis of Geophysical Well-Log Data." In Fractal Solutions for Understanding Complex Systems in Earth Sciences, 47–65. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24675-8_4.
Full textPadhy, Simanchal. "The Multi-fractal Scaling Behavior of Seismograms Based on the Detrended Fluctuation Analysis." In Fractal Solutions for Understanding Complex Systems in Earth Sciences, 99–115. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24675-8_7.
Full textRoozbehi, Zahra, Mahsa Mohaghegh, Hossein Lanjanian, and Peyman Hassani Abharian. "Proposing Two Different Feature Extraction Methods from Multi-fractal Detrended Fluctuation Analysis of Electroencephalography Signals: A Case Study on Attention-Deficit Hyperactivity Disorder." In Communications in Computer and Information Science, 796–803. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63823-8_90.
Full textLawal Kane, Ibrahim, and Venkatesan Madha Suresh. "Fractal Scaling Properties in Rainfall Time Series: A Case of Thiruvallur District, Tamil Nadu, India." In Groundwater Management and Resources. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.100631.
Full textConference papers on the topic "Detrended fractal analysis"
Yang, Rui, Xiangyang Li, and Junfeng Qi. "Application of Multi-Fractal Detrended Fluctuation Analysis." In 2015 International Conference on Education Technology, Management and Humanities Science (ETMHS 2015). Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/etmhs-15.2015.249.
Full textEl-Amir, Mona M., Walid Al-Atabany, and Mohamed A. Eldosoky. "Emotion Recognition via Detrended Fluctuation Analysis and Fractal Dimensions." In 2019 36th National Radio Science Conference (NRSC). IEEE, 2019. http://dx.doi.org/10.1109/nrsc.2019.8734620.
Full textGao, Jianbo, Jing Hu, and Wen-wen Tung. "Facilitating Joint Chaos and Fractal Analysis of Biosignals Through Nonlinear Adaptive Filtering." In ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control. ASMEDC, 2011. http://dx.doi.org/10.1115/dscc2011-6083.
Full textMatic, Zoran, Aleksandar Kalauzi, Mirjana Platisa, and Tijana Bojic. "Sensitivity Estimations in Favor of Using Inter-fractal Angle in Detrended Fluctuation Analysis." In 2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO). IEEE, 2022. http://dx.doi.org/10.1109/esgco55423.2022.9931387.
Full textCalleja, Ramón Alejandro Gutiérrez, José Alberto Zamora Justo, and Alejandro Muñoz Diosdado. "Nonlinear dynamics methods for tachogram series analysis based on detrended fluctuation analysis and Higuchi’s fractal dimension." In MEDICAL PHYSICS: Fourteenth Mexican Symposium on Medical Physics. Author(s), 2016. http://dx.doi.org/10.1063/1.4954139.
Full textMarri, Kiran, and Ramakrishnan Swaminathan. "Classification of Muscular Nonfatigue and Fatigue Conditions Using Surface EMG Signals and Fractal Algorithms." In ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9828.
Full textGao, Jianbo, Yi Zheng, and Jing Hu. "Long-Range Temporal Correlations, Multifractality, and the Causal Relation Between Neural Inputs and Movements." In ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control. ASMEDC, 2011. http://dx.doi.org/10.1115/dscc2011-6081.
Full textWan, Li, Jianxia Wang, and Jiaoxiu Ling. "Fractional Behavior in Element Grade Series: An Application of Detrended Fluctuation Analysis." In 2011 Fourth International Workshop on Chaos-Fractals Theories and Applications (IWCFTA). IEEE, 2011. http://dx.doi.org/10.1109/iwcfta.2011.65.
Full textReports on the topic "Detrended fractal analysis"
Bielinskyi, Andriy, Serhiy Semerikov, Oleksandr Serdiuk, Victoria Solovieva, Vladimir Soloviev, and Lukáš Pichl. Econophysics of sustainability indices. [б. в.], October 2020. http://dx.doi.org/10.31812/123456789/4118.
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