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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 Zhi
Gao G, Li K, Li J, Zhu M, Wang Y, Yan X, Shi X.   +6 more
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Multi-Channel Neighborhood-Constrained Variational Mode Decomposition

Paolo Fazzini, Giuseppe La Tona, Matteo Diez, Marco Montuori, Maria Carmela Di Piazza   +4 more
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Successive multivariate variational mode decomposition

Multidimensional Systems and Signal Processing, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shuaishuai Liu, Kaiping Yu
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Self-tuning variational mode decomposition

Journal of the Franklin Institute, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, Qiming, Chen, Junghui, Lang, Xun, Xie, Lei, Rehman, Naveed ur, Su, Hongye   +5 more
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Successive variational mode decomposition

Signal Processing, 2020
Abstract Variational mode decomposition (VMD) is a powerful technique for concurrently decomposing a signal into its constituent intrinsic modes. However, the performance of VMD will be degraded if the number of modes available in the signal is not precisely known.
Mojtaba Nazari, Sayed Mahmoud Sakhaei
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Diffraction separation by variational mode decomposition

Geophysical Prospecting, 2021
ABSTRACTDiffracted wavefields with superior illumination encode key geologic information about small‐scale geologic discontinuities or inhomogeneities in the subsurface and thus possess great potential for high‐resolution imaging. However, the weak diffracted wavefield is easily masked by the dominant reflected data.
Peng Lin, Jingtao Zhao, Suping Peng, Xiaoqin Cui   +3 more
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Variational Mode Decomposition

IEEE Transactions on Signal Processing, 2014
During the late 1990s, Huang introduced the algorithm called Empirical Mode Decomposition, which is widely used today to recursively decompose a signal into different modes of unknown but separate spectral bands. EMD is known for limitations like sensitivity to noise and sampling. These limitations could only partially be addressed by more mathematical
Dragomiretskiy Konstantin, Zosso Dominique   +1 more
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Nonlinear Chirp Mode Decomposition: A Variational Method

IEEE Transactions on Signal Processing, 2017
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Chen, Shiqian, Dong, Xingjian, Peng, Zhike, Zhang, Wenming, Meng, Guang   +4 more
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Image dehazing using variational mode decomposition

2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2017
Haze is caused by the scattering of airtight in atmosphere and it deteriorates the contrast of the photographs. Here, we propose a novel approach for haze removal based on Two Dimensional Variational Mode Decomposition (2D VMD). Two dimensional VMD decomposes the input image into desired number of bands with different central frequencies. From this set
Hima T. Suseelan, V. Sowmya, K. P. Soman
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