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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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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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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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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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Empirical mode decomposition (EMD) of potential field data: airborne gravity data as an example
SEG Technical Program Expanded Abstracts 2005, 2005In this paper, we introduce a newly developed method to process potential field data as an alternative to Fourier and wavelet based techniques. This new method is called Empirical Mode Decomposition (EMD) and was developed by Dr. Norden E. Huang at the NASA Goddard Space Flight Center (Huang et al. 1998).
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2013
Empirical mode decomposition (EMD) is a self-adaptive data driven technique for analyzing nonlinear and non-stationary signals and decompose them into some elementary Intrinsic Mode Functions (IMFs). Although EMD method has been applied in various applications successfully, this method has some drawbacks, i.e.
TABRIZI ZARRINGHABAEI, ALI AKBAR +3 more
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Empirical mode decomposition (EMD) is a self-adaptive data driven technique for analyzing nonlinear and non-stationary signals and decompose them into some elementary Intrinsic Mode Functions (IMFs). Although EMD method has been applied in various applications successfully, this method has some drawbacks, i.e.
TABRIZI ZARRINGHABAEI, ALI AKBAR +3 more
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Empirical Mode Decomposition (EMD) for Platform Motion Compensation in Remote Life Sensing Radar
2022 IEEE Radio and Wireless Symposium (RWS), 2022Shekh Md Mahmudul Islam +2 more
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Techniques for empirical mode decomposition (EMD)-based noise estimation
2021AL-BADRAWI MAHDI H +2 more
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