Results 161 to 170 of about 618 (183)
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Comparative study of MFDFA technique for isometric and isotonic muscle contraction
2016 3rd International Conference on Recent Advances in Information Technology (RAIT), 2016This paper discusses the results obtained from MFDFA technique applied to isometric and isotonic muscle contraction under different loading condition using Electromyography. An attempt has been made towards quantization of muscle contraction with load.
Monisha Chakraborty, Debanjan Parbat
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Asymmetric Multifractal Detrended Fluctuation Analysis (A-MFDFA)
2018The presence of multifractality suggests the inefficiency (Cajueiro and Tabak 2004, 2004, 2008; Cajueiro et al. 2009; Tabak and Cajueiro 2007; Wang et al. 2010), volatility predictability (Wei and Wang 2008), crash predictions (Wei and Wang 2008; Grech and Pamula 2008), and complexity (Matia et al. 2003; Kumar and Deo 2009; Norouzzadeh and Jafari 2005)
Guangxi Cao, Ling-Yun He
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Asymmetric multi-fractality in the U.S. stock indices using index-based model of A-MFDFA
Chaos, Solitons and Fractals, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Woojin Chang +2 more
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Nonlinear Analog Circuit Fault Diagnosis Based on MFDFA Method
Applied Mechanics and Materials, 2012This paper presents a fault diagnosis method for nonlinear analog circuit based on multifractal detrended fluctuation analysis (MFDFA) method. The MFDFA method is applied to analysis fault signal and extracts the multifractal features from the raw signal. The selected features are given to SVM classifier for further classification. The data required to
Jing Yuan Tang +2 more
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Traffic Time Series Simulation Analysis by Using MSE and MFDFA
2016 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII), 2016From the complexity and the correlation, traffic time series of different density are studied. Micro headway is selected as the object, and multi-scale entropy is used to reflect the complexity of the evolution of traffic flow, meanwhile multifractal detrended fluctuation analysis (MFDFA) is used to analyze the long-range correlation and short-range ...
Juan Bao, Wei Chen, Zheng-Tao Xiang
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Journal of Mechanical Science and Technology, 2019
Gearbox compound fault pattern recognition is challenging because of its complexity and non-stationarity of the vibration signal. In this study is proposed a novel hybrid method based on narrow band interference canceller (NIC), multifractal detrended fluctuation analysis (MFDFA) and support vector machine optimized by whale optimization algorithm ...
Xin Zhang, Xianglong Ni, Fucheng Sun
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Gearbox compound fault pattern recognition is challenging because of its complexity and non-stationarity of the vibration signal. In this study is proposed a novel hybrid method based on narrow band interference canceller (NIC), multifractal detrended fluctuation analysis (MFDFA) and support vector machine optimized by whale optimization algorithm ...
Xin Zhang, Xianglong Ni, Fucheng Sun
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Application of wavelet based MFDFA on Mueller matrix images for cervical pre-cancer detection
Optical Biopsy XVI: Toward Real-Time Spectroscopic Imaging and Diagnosis, 2018A systematic study has been conducted on application of wavelet based multifractal de-trended fluctuation analysis (MFDFA) on Mueller matrix (MM) images of cervical tissue sections for early cancer detection. Changes in multiple scattering and orientation of fibers are observed by utilizing a discrete wavelet transform (Daubechies) which identifies ...
Mohammad Zaffar, Asima Pradhan
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