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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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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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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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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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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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Development of novel hybrid models for the prediction of Covid-19 in Kuwait
Kuwait Journal of Science, 2021 The first case of coronavirus 2019 (Covid-19) in Kuwait was reported on February 24, 2020, and then day by day cases of Covid-19 keep on increasing.
Ahmad Aldousari +3 more
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Iraqi Geological Journal, 2023 This study aims to use the Empirical Mode Decomposition for reducing the noise of passive seismic signals recorded across seismic event recorded at Kirkuk station which is one of the Iraqi Meteorological Organization and Seismology data, where ...
Zainab Mahmmoud, Ali Al-Rahim
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IET Signal Processing, 2023 Electrocardiogram (ECG) is the most extensively applied diagnostic approach for heart diseases. However, an ECG signal is a weak bioelectrical signal and is easily disturbed by baseline wander, powerline interference, and muscle artefacts, which make ...
Yaru Yue +3 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, Danilo P. Mandic
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