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A Diffusion-Based Two-Dimensional Empirical Mode Decomposition (EMD) Algorithm for Image Analysis
2018We propose a novel diffusion-based, empirical mode decomposition (EMD) algorithm for image analysis. Although EMD has been a powerful tool in signal processing, its algorithmic nature has made it difficult to analyze theoretically. For example, many EMD procedures rely on the location of local maxima and minima of a signal followed by interpolation to ...
Heming Wang +2 more
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Enhancement of throat microphone speech using Empirical Mode Decomposition (EMD)
International Journal of Science and Research ArchiveThis paper presents a novel approach for enhancing the quality of throat microphone (TM) speech using Empirical Mode Decomposition (EMD). TM speech is known for its robustness in noisy environments but often suffers from poor intelligibility and unnatural sound due to the absence of high-frequency components. To address this issue, we propose using EMD
null Indraneel Misra +1 more
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Applying empirical mode decomposition (EMD) and entropy to diagnose circuit breaker faults
Optik, 2015Abstract In this paper, a new method to extract characteristic parameters from vibration signal of HV (high voltage) CB (circuit breakers) is proposed based on the empirical mode decomposition (EMD)-entropy. First, the normal signal and several fault signals are decomposed with empirical mode, and then extraction and selection the IMF function ...
Liu Mingliang +3 more
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Spline manipulations for empirical mode decomposition (EMD) on bounded intervals and beyond
Applied and Computational Harmonic AnalysisThe core of empirical mode decomposition (EMD) of a time series $f(t)$ on some finite time-domain $[a,b]$ is the iterative sifting process for computing the intrinsic mode functions and the trend of $f(t)$. To compute each IMF, $f_k (t)$ for $k = 1,\dots,n$, there are $L_k$ iterative steps of the sifting process, and in each step, two cubic spline ...
Charles K. Chui, Wenjie He
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Multiscale Modeling & Simulation, 2016
Summary: In this paper, we propose a numerical method that combines the heterogeneous multiscale method (HMM) and the empirical mode decomposition (EMD) type of filtering techniques to compute the slow dynamics in a multiscale system. The main idea is that we apply the adaptive local iterative filtering (ALIF) algorithm, an EMD-like nonlinear signal ...
Seong Jun Kim, Haomin Zhou 0001
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Summary: In this paper, we propose a numerical method that combines the heterogeneous multiscale method (HMM) and the empirical mode decomposition (EMD) type of filtering techniques to compute the slow dynamics in a multiscale system. The main idea is that we apply the adaptive local iterative filtering (ALIF) algorithm, an EMD-like nonlinear signal ...
Seong Jun Kim, Haomin Zhou 0001
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AIP Conference Proceedings, 2017
Non-stationer signal from the seismic survey is difficult to be directly interpreted in time domain analysis. Spectral decomposition is one of the spectral analysis methods that can analyze the non-stationer signal in frequency domain. The Fast Fourier Transform method was commonly used for spectral decomposition analysis, however, this method had a ...
A. Haris +3 more
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Non-stationer signal from the seismic survey is difficult to be directly interpreted in time domain analysis. Spectral decomposition is one of the spectral analysis methods that can analyze the non-stationer signal in frequency domain. The Fast Fourier Transform method was commonly used for spectral decomposition analysis, however, this method had a ...
A. Haris +3 more
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Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2012
According to the frequency overlapping of intrinsic mode function (IMF) based on the temporal and spatial filtering of empirical mode decomposition (EMD), which will lead to the question of useful signals and noises filtered together, we proposed a method that numbers of IMF is determined by energy estimate, temporal and spatial filtering combing ...
Xin, Li +3 more
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According to the frequency overlapping of intrinsic mode function (IMF) based on the temporal and spatial filtering of empirical mode decomposition (EMD), which will lead to the question of useful signals and noises filtered together, we proposed a method that numbers of IMF is determined by energy estimate, temporal and spatial filtering combing ...
Xin, Li +3 more
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2009 Asia-Pacific Power and Energy Engineering Conference, 2009
In resonant grounded power distribution systems, it is difficult to identify the fault line due to weak current and unstable fault arc after single phase-to-earth fault occurring. On the base of analyzing characters of the steady and the transient signal of zero-sequence-current, a new method of fault-line selection by using empirical mode ...
Hong-Chun Shu, Bin Li
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In resonant grounded power distribution systems, it is difficult to identify the fault line due to weak current and unstable fault arc after single phase-to-earth fault occurring. On the base of analyzing characters of the steady and the transient signal of zero-sequence-current, a new method of fault-line selection by using empirical mode ...
Hong-Chun Shu, Bin Li
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2010 3rd International Conference on Biomedical Engineering and Informatics, 2010
This study proposes a new method to extract oscillometric pulses for noninvasive blood pressure measurement using empirical mode decomposition, based on the oscillometric method. The mean and standard deviation of the present method in systolic and diastolic pressure are 1.6 and 5.2, and 0.7 and 5.2, respectively, which not only passes the AAMI ...
Fu-Jung Hsiao, Chen-Chuan Hung
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This study proposes a new method to extract oscillometric pulses for noninvasive blood pressure measurement using empirical mode decomposition, based on the oscillometric method. The mean and standard deviation of the present method in systolic and diastolic pressure are 1.6 and 5.2, and 0.7 and 5.2, respectively, which not only passes the AAMI ...
Fu-Jung Hsiao, Chen-Chuan Hung
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Internal Wave Packet Characterization from SAR Images Using Empirical Mode Decomposition (EMD)
2008 Congress on Image and Signal Processing, 2008This paper addresses the problem of the characterization of oceanic internal wave packets from SAR images. Empirical Mode Decomposition (EMD) provides a new strategy for extracting internal wave signatures, and offers the precision, flexibility and accuracy which are proved by Huang et al. in 1998.
Xilin Gan +3 more
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