Results 21 to 30 of about 4,055 (251)
Multivariate Nonlinear Sparse Mode Decomposition and Its Application in Gear Fault Diagnosis
IEEE Access, 2021 Multi-channel signal has more abundant and accurate state characteristic information than single channel signal. How to separate fault characteristic information from the multi-channel signal is the key of fault diagnosis.
Haiyang Pan +3 more
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Applied Sciences, 2022 Although widely used in various fields due to its powerful capability of signal processing, empirical mode decomposition has to decompose signals separately, which limits its application for multivariate data such as the structural monitoring data ...
Mingfeng Huang +3 more
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Identifying quasi-periodic variability using multivariate empirical mode decomposition: a case of the tropical Pacific [PDF]
Weather and Climate Dynamics, 2023 A variety of statistical tools have been used in climate science to gain a better understanding of the climate system's variability on various temporal and spatial scales. However, these tools are mostly linear, stationary, or both. In this study, we use
L. Boljka +5 more
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A Method for Blind Source Separation of Multichannel Electromagnetic Radiation in the Field
IEEE Access, 2020 Considering the multichannel instability, spectral overlap and strong interference of electromagnetic radiation signals in the integrated electric propulsion systems of ships, a new method is proposed which combines multivariate empirical mode ...
Sheng Liu, Bangmin Wang, Lanyong Zhang
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Plant-wide oscillation detection using multivariate empirical mode decomposition [PDF]
Computers & Chemical Engineering, 2018 Abstract Plant-wide oscillation detection is an important task in the maintenance of large-scale industrial control systems, owing to the fact that in an interactive multi-loop environment oscillation generated in one loop may propagate to the different parts of the plant.
Muhammad Faisal Aftab +2 more
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Atmosphere, 2023 This study analyzed the multifractal characteristics of daily reference evapotranspiration (ETo) time series of the Tabriz and Urmia stations of northwestern Iran and its cross-correlation with five other meteorological variables.
Adarsh Sankaran +4 more
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Classification of Motor Imagery BCI Using Multivariate Empirical Mode Decomposition [PDF]
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2013 Brain electrical activity recorded via electroencephalogram (EEG) is the most convenient means for brain-computer interface (BCI), and is notoriously noisy. The information of interest is located in well defined frequency bands, and a number of standard frequency estimation algorithms have been used for feature extraction.
Park, Cheolsoo +4 more
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A Complex Empirical Mode Decomposition for Multivariant Traffic Time Series
Electronics, 2023 Data-driven modeling methods have been widely used in many applications or studies of traffic systems with complexity and chaos. The empirical mode decomposition (EMD) family provides a lightweight analytical method for non-stationary and non-linear data.
Guochen Shen, Lei Zhang
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IEEE Access, 2020 This paper describes a novel multichannel signal denoising approach based on multivariate variational mode decomposition (MVMD). MVMD is the extended version of the variational mode decomposition (VMD) algorithm for multichannel data sets.
Peipei Cao, Huali Wang, Kaijie Zhou
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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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