Results 21 to 30 of about 8,576 (212)

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

Serial-EMD: Fast empirical mode decomposition method for multi-dimensional signals based on serialization

Information Sciences, 2021
Empirical mode decomposition (EMD) has developed into a prominent tool for adaptive, scale-based signal analysis in various fields like robotics, security and biomedical engineering. Since the dramatic increase in amount of data puts forward higher requirements for the capability of real-time signal analysis, it is difficult for existing EMD and its ...
Jin Zhang 0003, Fan Feng, Pere Martí-Puig, Cesar F. Caiafa, Zhe Sun 0009, Feng Duan 0006, Jordi Solé-Casals   +6 more
openaire   +3 more sources

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 (EMDF) of low-frequency noise for speech enhancement [PDF]

, 2012
An Empirical Mode Decomposition based filtering (EMDF) approach is presented as a post-processing stage for speech enhancement. This method is particularly effective in low frequency noise environments.
Navin Chatlani, Soraghan, John J., John J. Soraghan, Soraghan, J.J., Chatlani, Navin   +4 more
core   +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

Artifact reduction in multichannel pervasive EEG using hybrid WPT-ICA and WPT-EMD signal decomposition techniques [PDF]

, 2014
In order to reduce the muscle artifacts in multi-channel pervasive Electroencephalogram (EEG) signals, we here propose and compare two hybrid algorithms by combining the concept of wavelet packet transform (WPT), empirical mode decomposition (EMD) and ...
Koushik Maharatna, Das, Saptarshi, Saptarshi Das, Maharatna, Koushik, Valentina Bono, Bono, Valentina, Wasifa Jamal, Jamal, Wasifa   +7 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

Improved EMD Using Doubly-Iterative Sifting and High Order Spline Interpolation [PDF]

, 2008
Empirical mode decomposition (EMD) is a signal analysis method which has received much attention lately due to its application in a number of fields. The main disadvantage of EMD is that it lacks a theoretical analysis and, therefore, our understanding ...
Yannis Kopsinis, McLaughlin, Stephen; id_orcid, Steve McLaughlin, Yannis Kopsinis, Kopsinis, Yannis   +4 more
core   +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

Investigating properties of the cardiovascular system using innovative analysis algorithms based on ensemble empirical mode decomposition [PDF]

, 2012
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited - Copyright @ 2012 Jia-Rong Yeh et al ...
Lin, TY, Shieh, JS, Abbod, MF, Yeh, JR, Chen, Y, Sun, WZ   +5 more
core   +1 more source