Results 241 to 250 of about 296,188 (298)
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An Automatic Parameter Setting Variational Mode Decomposition Method for Vibration Signals
IEEE Transactions on Industrial InformaticsVariational mode decomposition (VMD) provides a feasible approach to decompose vibration signals obtained from complex machinery for further applications.
Aina Wang +3 more
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Nonlinear Chirp Mode Decomposition: A Variational Method
IEEE Transactions on Signal Processing, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, Shiqian +4 more
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IEEE Transactions on Instrumentation and Measurement
Crosslinked polyethylene (XLPE) insulated cables have been widely developed in transmission lines and urban distribution networks due to their advantages, such as being lightweight, high working temperature, and high transmission power. Partial discharge
Xiaowei Wang +6 more
semanticscholar +1 more source
Crosslinked polyethylene (XLPE) insulated cables have been widely developed in transmission lines and urban distribution networks due to their advantages, such as being lightweight, high working temperature, and high transmission power. Partial discharge
Xiaowei Wang +6 more
semanticscholar +1 more source
Two-Dimensional Variational Mode Decomposition
2015In this paper we propose a variational method to adaptively decompose an image into few different modes of separate spectral bands, which are unknown before. A popular method for recursive one dimensional signal decomposition is the Empirical Mode Decomposition algorithm, introduced by Huang in the nineties. This algorithm, as well as its 2D extension,
Konstantin Dragomiretskiy +1 more
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A queued Variational Mode Decomposition method
Journal of the Franklin InstitutezbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wei Chen 0159, Yong Zhang 0018
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Applied Optics, 2022
As far as we know, there is no paper reported to retrieve the phase of an object in rain by the fringe projection profilometry (FPP) method. The fringe projection pattern taken in rain contains much rain noise, which makes it difficult to accurately retrieve the phase of the object.
Nian, Hong +3 more
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As far as we know, there is no paper reported to retrieve the phase of an object in rain by the fringe projection profilometry (FPP) method. The fringe projection pattern taken in rain contains much rain noise, which makes it difficult to accurately retrieve the phase of the object.
Nian, Hong +3 more
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2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016
Most of the non-stationary signals need adaptive processing technique for denoising, signal processing for feature extraction and analysis. In this regard, signal decomposition methods plays a vital role as selective reconstruction extracts the enhanced version of the signal buried in the noise.
Uday Maji, Saurabh Pal 0003
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Most of the non-stationary signals need adaptive processing technique for denoising, signal processing for feature extraction and analysis. In this regard, signal decomposition methods plays a vital role as selective reconstruction extracts the enhanced version of the signal buried in the noise.
Uday Maji, Saurabh Pal 0003
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Denoising of phonocardiogram signals using variational mode decomposition
2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2017Recent advances in signal processing and the revolution by the mobile technologies have spurred several innovations in all the areas and albeit more so in home based tele-medicine. We used variational mode decomposition (VMD) based denoising on large-scale phonocardiogram (PCG) data sets and achieved better accuracy. We have also implemented a reliable,
V. G. Sujadevi +4 more
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Variational mode decomposition denoising combined with the Hausdorff distance
Review of Scientific Instruments, 2017Variational mode decomposition (VMD) is a recently introduced adaptive signal decomposition algorithm with a solid theoretical foundation and good noise robustness compared with empirical mode decomposition (EMD). However, there is still a problem with this algorithm associated with the selection of relevant modes.
Wenping Ma +3 more
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Complex Variational Mode Decomposition for Slop-Preserving Denoising
IEEE Transactions on Geoscience and Remote Sensing, 2018We have introduced a new decomposition method for seismic data, termed complex variational mode decomposition (VMD), and we have also designed a new filtering technique for random noise attenuation in seismic data by applying the VMD on constant-frequency slices in the frequency–offset ( $f$ – $x$ ) domain.
Siwei Yu 0002, Jianwei Ma
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