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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Short-time variational mode decomposition [PDF]
Signal Processing13 pages, 11 ...
Hao Jia +9 more
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Variational Mode Decomposition with Missing Data
Korean Journal of Applied Statistics, 2015 Abstract Dragomiretskiy and Zosso (2014) developed a new decomposition method, termed variational mode decom-position (VMD), which is efficient for handling the tone detection and separation of signals. However, VMDmay be inefficient in the presence of missing data since it is based on a fast Fourier transform (FFT) algo-rithm. To overcome this problem, we
Guebin Choi +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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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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Empirical Variational Mode Decomposition Based on Binary Tree Algorithm. [PDF]
Sensors (Basel), 2022 Aiming at non-stationary signals with complex components, the performance of a variational mode decomposition (VMD) algorithm is seriously affected by the key parameters such as the number of modes K, the quadratic penalty parameter α and the update step τ.
Li H, Xu B, Zhou F, Yan B, Zhou F.
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A Source Localization Method Using Complex Variational Mode Decomposition. [PDF]
Sensors (Basel), 2022 Source localization with a passive sensors array is a common topic in various areas. Among the popular source localization algorithms, the compressive sensing (CS)-based method has recently drawn considerable interest because it is a high-resolution method, robust with coherent sources and few snapshots, and applicable for mixed near-field and far ...
Miao Q, Sun X, Wu B, Ye L, Song K.
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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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Adaptive Feature Extraction Using Sparrow Search Algorithm-Variational Mode Decomposition for Low-Speed Bearing Fault Diagnosis. [PDF]
Sensors (Basel)Wang B, Tang H, Zu X, Chen P.
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