Results 11 to 20 of about 296,188 (298)
Variational mode decomposition for surface and intramuscular EMG signal denoising
Biomedical Signal Processing and Control, 2023 Mohamed Boutaayamou, Olivier Bruls
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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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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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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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Rolling Bearing Fault Diagnosis Based on VMD-MPE and PSO-SVM
Entropy, 2021 The goal of the paper is to present a solution to improve the fault detection accuracy of rolling bearings. The method is based on variational mode decomposition (VMD), multiscale permutation entropy (MPE) and the particle swarm optimization-based ...
Maoyou Ye, Xiaoan Yan, Minping Jia
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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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Multivariate Variational Mode Decomposition [PDF]
IEEE Transactions on Signal Processing, 2019 In this paper, a generic extension of variational mode decomposition (VMD) algorithm for multivariate or multichannel data sets is presented. We first define a model for multivariate modulated oscillations that is based on the presence of a joint or common frequency component among all channels of input data.
Naveed ur Rehman, Hania Aftab
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Shock and Vibration, 2021 In order to improve the diagnosis accuracies of the current diagnosis methods, a novel fault diagnosis method of automobile gearbox based on novel successive variational mode decomposition and weighted regularized extreme learning machine is presented ...
Yijiao Wang, Guoguang Zhou
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Cognitive Computation and Systems, 2020 A feature cognitive model combined with an improved variational mode and singular value decomposition is presented to recognise the characteristics of the fault signals from vibration signals of mechanical equipment in this study.
Jinxiang Chen +3 more
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Variational Mode Decomposition-Based Nonstationary Coherent Structure Analysis for Spatiotemporal Data [PDF]
Aerospace Science and Technology, 2023 The conventional modal analysis techniques face difficulties in handling nonstationary phenomena, such as transient, nonperiodic, or intermittent phenomena. This paper presents a variational mode decomposition--based nonstationary coherent structure (VMD-
Y. Ohmichi
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