Results 1 to 10 of about 197,849 (195)
Bivariate Empirical Mode Decomposition [PDF]
IEEE Signal Processing Letters, 2007 10 pages, 3 figures. Submitted to Signal Processing Letters, IEEE. Matlab/C codes and additional material are downloadable from http://perso.ens-lyon.fr/patrick.flandrinThe Empirical Mode Decomposition (EMD) has been introduced quite recently to ...
Flandrin, Patrick +3 more
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Empirical mode decomposition with missing values [PDF]
SpringerPlus, 2016 This paper considers an improvement of empirical mode decomposition (EMD) in the presence of missing data. EMD has been widely used to decompose nonlinear and nonstationary signals into some components according to intrinsic frequency called intrinsic ...
Donghoh Kim, Hee-Seok Oh
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Fast Multivariate Empirical Mode Decomposition
IEEE Access, 2018 The multivariate empirical mode decomposition (MEMD) has been pioneered recently for adaptively processing of multichannel data. Despite its high efficiency on time-frequency analysis of nonlinear and nonstationary signals, high computational load and ...
Xun Lang +6 more
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Energies, 2019 Empirical mode decomposition (EMD) is a widely used adaptive signal processing method, which has shown some shortcomings in engineering practice, such as sifting stop criteria of intrinsic mode function (IMF), mode mixing and end effect.
Zhongzhe Chen +3 more
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Objective Empirical Mode Decomposition metric
International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems, 2016 Empirical Mode Decomposition (EMD) is a data-driven technique for extraction of oscillatory components from data. Although it has been introduced over 15 years ago, its mathematical foundations are still missing which also implies lack of objective ...
Dawid Laszuk +2 more
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Audio encoding based on the empirical mode decomposition
, 2009 National audienceThis paper deals with a new approach for perceptual audio encoding, based on the Empirical Mode Decomposition (EMD). The audio signal is decomposed adaptively into intrinsic oscillatory components by EMD called Intrinsic Mode Functions ...
Boudraa, Abdel-Ouahab +4 more
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Infrastructures, 2019 In this paper, ensemble empirical mode decomposition (EEMD) and empirical mode decomposition (EMD) methods are used for the effective identification of bridge natural frequencies from drive-by measurements.
Licheng Zhu, Abdollah Malekjafarian
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Improving the prediction accuracy of river inflow using two data pre-processing techniques coupled with data-driven model [PDF]
PeerJ, 2019 River inflow prediction plays an important role in water resources management and power-generating systems. But the noises and multi-scale nature of river inflow data adds an extra layer of complexity towards accurate predictive model.
Hafiza Mamona Nazir +4 more
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Complex Empirical Mode Decomposition [PDF]
IEEE Signal Processing Letters, 2007 A method for the empirical mode decomposition (EMD) of complex-valued data is proposed. This is achieved based on the filter bank interpretation of the EMD mapping and by making use of the relationship between the positive and negative frequency component of the Fourier spectrum.
Toshihisa Tanaka 0001, Danilo P. Mandic
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Applied Sciences, 2023 Sudden cardiac death (SCD) is a global health problem, which represents 15–20% of global deaths. This type of death can be due to different heart conditions, where ventricular fibrillation has been reported as the main one.
Manuel A. Centeno-Bautista +5 more
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