Results 11 to 20 of about 4,055 (251)
Multi-Fault Diagnosis of Rolling Bearings via Adaptive Projection Intrinsically Transformed Multivariate Empirical Mode Decomposition and High Order Singular Value Decomposition [PDF]
Sensors, 2018 Rolling bearings are important components in rotary machinery systems. In the field of multi-fault diagnosis of rolling bearings, the vibration signal collected from single channels tends to miss some fault characteristic information.
Rui Yuan, Yong Lv, Gangbing Song
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Multivariate Nonstationary Oscillation Simulation of Climate Indices With Empirical Mode Decomposition [PDF]
Water Resources Research, 2019 The objective of the current study is to build a stochastic model to simulate climate indices that are teleconnected with the hydrologic regimes of large‐scale water resources systems such as the Great Lakes system.
Taesam Lee, Taha B.M.J. Ouarda
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GPU-Accelerated Multivariate Empirical Mode Decomposition for Massive Neural Data Processing
IEEE Access, 2017 This paper presents an efficient implementation of multivariate empirical mode decomposition (MEMD) algorithm, a multivariate extension of EMD algorithm.
Taha Mujahid +2 more
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Noise-Assisted Multivariate Empirical Mode Decomposition Based Emotion Recognition
Electrica, 2018 Emotion state detection or emotion recognition cuts across different disciplines because of the many parameters that embrace the brain's complex neural structure, signal processing methods, and pattern recognition algorithms.
Pınar Özel +2 more
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Weighted Window Sliding Multivariate Empirical Mode Decomposition for Online Multichannel Filtering
IEEE Access, 2018 Affected by nonlinear and non-stationary problems, classical linear analysis approaches may fail in analyzing real-world signals, such as the biomedical data.
Songbing Tao +3 more
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Entropy, 2013 In monitoring the depth of anesthesia (DOA), the electroencephalography (EEG) signals of patients have been utilized during surgeries to diagnose their level of consciousness.
Jiann-Shing Shieh +6 more
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Applied Sciences, 2022 Multicomponent seismic exploration provides more wavefield information for imaging complex subsurface structures and predicting reservoirs. Ground roll is strongly coherent noise in land multicomponent seismic data and exhibits similar features, which ...
Liying Xiao, Zhifu Zhang, Jianjun Gao
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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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Multivariate empirical mode decomposition and application to multichannel filtering [PDF]
Signal Processing, 2011 Empirical Mode Decomposition (EMD) is an emerging topic in signal processing research, applied in various practical fields due in particular to its data-driven filter bank properties. In this paper, a novel EMD approach called X-EMD (eXtended-EMD) is proposed, which allows for a straightforward decomposition of mono- and multivariate signals without ...
Fleureau, Julien +4 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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