Results 11 to 20 of about 7,212 (303)
Channel identification with Improved Variational Mode Decomposition
Physical Communication, 2022 Gianmarco Baldini, Fausto Bonavitacola
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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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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.
Cohen, Ido, Berkov, Tom, Gilboa, Guy
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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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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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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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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 Angelou +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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[Study on the separation method of lung ventilation and lung perfusion signals in electrical impedance tomography based on rime algorithm optimized variational mode decomposition]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za ZhiGao G +6 more
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Two-dimensional compact variational mode decomposition [PDF]
Journal of Mathematical Imaging and Vision, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zosso, Dominique +3 more
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