Results 21 to 30 of about 4,786,449 (207)

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, DARE, Delphine, DARE-EMZIVAT, Delphine, BOUDRAA, Abdel-Ouahab, KOMATY, Ali   +4 more
core   +1 more source

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
doaj   +1 more source

Univariate and Bivariate Empirical Mode Decomposition for Postural Stability Analysis

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, David Hewson, Hichem Snoussi, Hassan Amoud   +3 more
doaj   +1 more source

On the Use of Ensemble Empirical Mode Decomposition for the Identification of Bridge Frequency from the Responses Measured in a Passing Vehicle

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
doaj   +1 more source

An Improved Signal Processing Approach Based on Analysis Mode Decomposition and Empirical Mode Decomposition

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, Baqiao Liu, Xiaogang Yan, Hongquan Yang   +3 more
doaj   +1 more source

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, AUGIER, Benoit, DARE-EMZIVAT, Delphine, BOUDRAA, Abdel-Ouahab, KOMATY, Ali   +4 more
core   +1 more source

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, A. Enis Cetin, Cetin, A. Enis, Orhan Arikan, Onur Ozturk, Arikan ,Orhan, Ozturk, Onur   +6 more
core   +1 more source

An improved genetic algorithm for optimizing ensemble empirical mode decomposition method

Systems Science & Control Engineering, 2019
This paper proposes an improved ensemble empirical mode decomposition method based on genetic algorithm to solve the mode mixing problem in empirical mode decomposition (EMD) algorithm as well as the parameters selection issue in ensemble empirical mode ...
Dabin Zhang, Chaomin Cai, Shanying Chen, Liwen Ling   +3 more
doaj   +1 more source

Application of Boundary Local Feature Scale Adaptive Matching Extension EMD Endpoint Effect Suppression Method in Blasting Seismic Wave Signal Processing

Shock and Vibration, 2021
The intrinsic endpoint effect of empirical mode decomposition (EMD) will lead to serious divergence of the intrinsic mode function (IMF) at the endpoint, which will lead to the distortion of IMF and affect the decomposition accuracy of EMD.
Jing Wu, Li Wu, Miao Sun, Ya-ni Lu, Yan-hua Han   +4 more
doaj   +1 more source

Rehaussement du signal de parole voisé par filtrage adaptatif des modes intrinsèques empiriques [PDF]

, 2010
In this paper a new method for voiced speech enhancement combining the Empirical Mode Decomposition (EMD) and the Adaptive Center Weighted Average (ACWA) filter is introduced.
TURKI, Monia, KHALDI, Kais, BOUDRAA, Abdel-Ouahab   +2 more
core   +1 more source