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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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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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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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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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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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DYNAMIC BANDWIDTH VARIATIONAL MODE DECOMPOSITION
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 <p>Signal decomposition techniques aim to break down nonstationary signals into their oscillatory components, serving as a preliminary step in various practical signal processing applications. This has motivated researchers to explore different strategies, yielding several distinct approaches.
Andreas G. Angelou +2 more
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Channel identification with Improved Variational Mode Decomposition
Physical Communication, 2022 The identification of the wireless channel characteristics is an important function in the wireless communication design and deployment especially in rich propagation environments.
Gianmarco Baldini, Fausto Bonavitacola
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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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Adaptive Complex Variational Mode Decomposition for Micro-Motion Signal Processing Applications
Sensors, 2021 In order to suppress the strong clutter component and separate the effective fretting component from narrow-band radar echo, a method based on complex variational mode decomposition (CVMD) is proposed in this paper.
Saiqiang Xia +5 more
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Fault diagnosis of rolling bearings based on variational mode decomposition and calculus enhanced energy operator [PDF]
工程科学学报, 2016 Aiming at the characteristics of rolling bearing fault vibration signals and considering the merits of variational mode decomposition in mono-component separation and calculus enhanced energy operator in transient impulse detection, this article ...
ZHANG Dong, FENG Zhi-peng
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