Results 11 to 20 of about 8,576 (212)
Univariate and Bivariate Empirical Mode Decomposition for Postural Stability Analysis [PDF]
EURASIP Journal on Advances in Signal Processing, 2008 The aim of this paper was to compare empirical mode decomposition (EMD) and two new extended methods of  EMD named complex empirical mode decomposition (complex-EMD) and bivariate empirical mode decomposition (bivariate-EMD).
Jacques Duchêne +3 more
doaj +2 more sources
, 2013 In this paper a new adaptive audio watermarking algorithm based on Empirical Mode Decomposition (EMD) is introduced. The audio signal is divided into frames and each one is decomposed adaptively, by EMD, into intrinsic oscillatory components called ...
KHALDI, Kais, BOUDRAA, Abdel-Ouahab
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Empirical mode decomposition (EMD) analysis of HRV data from locally anesthetized patients [PDF]
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009 Spectral analysis of Heart Rate Variability (HRV) is used for the assessment of cardiovascular autonomic control. In this study data driven adaptive technique Empirical Mode Decomposition (EMD) and the associated Hilbert spectrum has been used to evaluate the effect of local anesthesia on HRV parameters in a group of fourteen patients undergoing ...
Shafqat, K. +3 more
openaire +3 more sources
On the behavior of EMD and MEMD in presence of symmetric alpha-stable noise [PDF]
, 2014 EmpiricalMode Decomposition (EMD) and its extended versions such as Multivariate EMD (MEMD) are data-driven techniques that represent nonlinear and non-stationary data as a sum of a finite zero-mean AM-FM components referred to as Intrinsic Mode ...
NOLAN, John +4 more
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Research on Intelligent Power Load Forecasting Algorithm Based on Empirical Mode Decomposition
Chemical Engineering Transactions, 2017 The load forecasting of power system is related to the dispatching operation and production planning of power system. Accurate load forecasting can improve the safety and stability of the system and reduce the cost of power generation. The load variation
Qinghua Chen
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Elastic Net Regression and Empirical Mode Decomposition for Enhancing the Accuracy of the Model Selection [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2021 Elastic net (ELNET) regression is a hybrid statistical technique used for regularizing and selecting necessary predictor variables that have a strong effect on the response variable and deal with multicollinearity problem when it exists between the ...
Abdullah S. Al-Jawarneh +2 more
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Journal of Hydroinformatics, 2021 Traditionally, tidal level is predicted by harmonic analysis (HA). In this paper, three hybrid models that couple varied pre-processing methods, which are empirical mode decomposition (EMD), ensemble empirical mode decomposition (EEMD), and empirical ...
Bing-Xian Liang +3 more
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Kurtosis Based Empirical Mode Decomposition for Rolling Bearing Fault Detection [PDF]
MATEC Web of Conferences, 2020 A bearing fault diagnosis approach based on spectral kurtosis and empirical mode decomposition (EMD) is proposed. EMD is a signal decomposition technique, which can adaptively separate a number of intrinsic mode functions (IMFs) from the vibration signal
Li Hui, Liu Xuhan
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EMD-Based Filtering Using Similarity Measure Between Probability Density Functions of IMFs [PDF]
, 2014 This paper introduces a new signal-filtering which combines the empirical mode decomposition (EMD) and a similarity measure. A noisy signal is adaptively broken down into oscillatory components called intrinsic mode functions (IMFs) by EMD followed by an
DARE, Delphine +4 more
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Empirical Mode Decomposition Aided by Adaptive Low Pass Filtering [PDF]
, 2012 Empirical Mode Decomposition (EMD) is an adaptive signal analysis technique which derives its basis functions from the signal itself. EMD is realized through successive iterations of a sifting process requiring local mean computation.
Arıkan, Orhan +6 more
core +1 more source