Results 21 to 30 of about 44,498 (172)
Ecological Indicators, 2023 Reference evapotranspiration (ETo) is a vital climate parameter affecting plants' water use. ETo can generate large deficits in soil moisture and runoff in different regions and seasons, leading to uncertainties in drought warning systems.
Mumtaz Ali +8 more
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Dynamically sampled multivariate empirical mode decomposition [PDF]
Electronics Letters, 2015 A method for accurate multivariate local mean estimation in the multivariate empirical mode decomposition algorithm by using a statistical data‐driven approach based on the Menger curvature measure and normal‐to‐anything variate‐generation method is proposed. This is achieved by aligning the projection vectors in the direction of the maximum ‘activity’
Rehman, N +4 more
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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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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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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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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.
Aftab, Muhammad Faisal +2 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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Data-driven multivariate and multiscale methods for brain computer interface [PDF]
, 2012 This thesis focuses on the development of data-driven multivariate and multiscale methods for brain computer interface (BCI) systems. The electroencephalogram (EEG), the most convenient means to measure neurophysiological activity due to its ...
Park, Cheolsoo, Park, Cheolsoo
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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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