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Variational Mode Decomposition for Raman Spectral Denoising [PDF]
Molecules, 2023 As a fast and non-destructive spectroscopic analysis technique, Raman spectroscopy has been widely applied in chemistry. However, noise is usually unavoidable in Raman spectra. Hence, denoising is an important step before Raman spectral analysis. A novel
Xihui Bian +4 more
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Fault detection of gearbox by multivariate extended variational mode decomposition-based time–frequency images and incremental RVM algorithm [PDF]
Scientific Reports, 2023 A novel detection method based on multivariate extended variational mode decomposition-based time–frequency images and incremental RVM algorithm (MEVMDTFI–IRVM) is presented for fault detection of gearbox.
Siwei Nao, Yan Wang
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Sensors, 2022 Complex variational mode decomposition (CVMD) has been proposed to extend the original variational mode decomposition (VMD) algorithm to analyze complex-valued data.
Qiuyan Miao +4 more
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Variable Filtered-Waveform Variational Mode Decomposition and Its Application in Rolling Bearing Fault Feature Extraction [PDF]
EntropyVariational Mode Decomposition (VMD) serves as an effective method for simultaneously decomposing signals into a series of narrowband components. However, its theoretical foundation, the classical Wiener filter, exhibits limited adaptability when applied
Nuo Li, Hang Wang
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Hybrid Empirical and Variational Mode Decomposition of Vibratory Signals
AlgorithmsSignal analysis is a fundamental field in engineering and data science, focused on the study of signal representation, transformation, and manipulation. The accurate estimation of harmonic vibration components and their associated parameters in vibrating
Eduardo Esquivel-Cruz +5 more
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Enhanced forecasting of shipboard electrical power demand using multivariate input and variational mode decomposition with mode selection [PDF]
Scientific ReportsAccurate forecasting of shipboard electricity demand is essential for optimizing Energy Management Systems (EMSs), which are crucial for efficient and profitable operation of shipboard power grids. To address this challenge, this paper introduces a novel
Paolo Fazzini +3 more
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Electrocardiogram signals denoising using improved variational mode decomposition
Journal of Medical Signals and Sensors, 2021 Background: Electrocardiogram (ECG) plays a vital role in the analysis of heart activity. It can be used to analyze the different heart diseases and mental stress assessment also.
Vikas Malhotra, Mandeep Kaur Sandhu
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Total-Variation Mode Decomposition [PDF]
, 2021 In this work we analyze the Total Variation (TV) flow applied to one dimensional signals. We formulate a relation between Dynamic Mode Decomposition (DMD), a dimensionality reduction method based on the Koopman operator, and the spectral TV decomposition. DMD is adapted by time rescaling to fit linearly decaying processes, such as the TV flow.
Ido Cohen 0001, Tom Berkov, Guy Gilboa
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Noise-Assisted Multivariate Variational Mode Decomposition [PDF]
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021 The variational mode decomposition (VMD) is a widely applied optimization-based method, which analyzes non-stationary signals concurrently. Correspondingly, its recently proposed multivariate extension, i.e., MVMD, has shown great potentials in analyzing multichannel signals.
Zisou, Charilaos A. +2 more
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Shock and Vibration, 2021 Variational mode decomposition is an adaptive nonrecursive signal decomposition and time-frequency distribution estimation method. The improper selection of the decomposition number will cause under decomposition or over decomposition, and the improper ...
Yuanxin Wang
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