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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
Dominique Zosso
exaly   +3 more sources

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.
Sayed Mahmoud Sakhaei
exaly   +2 more sources

Variational Mode Decomposition for NMR Echo Data Denoising

IEEE Transactions on Geoscience and Remote Sensing, 2023
Nuclear magnetic resonance (NMR) relaxometry, a noninvasive and nondestructive method, is a key technique for unconventional reservoir evaluation. Echo data detected from NMR instrument, a kind of weak signal, however, is characterized by a low signal-to-
Jiangfeng Guo   +6 more
semanticscholar   +2 more sources

Recursive Windowed Variational Mode Decomposition

Circuits, Systems, and Signal Processing
Zhaoheng Zhou, B. Ling, Nuo Xu
semanticscholar   +2 more sources

Self-tuning variational mode decomposition

Journal of the Franklin Institute, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qiming Chen   +5 more
openaire   +3 more sources

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
openaire   +1 more source

Vital Sign Detection of FMCW Radar Based on Improved Adaptive Parameter Variational Mode Decomposition

IEEE Sensors Journal, 2023
Frequency-modulated continuous-wave (FMCW) radar has become increasingly popular for contactless vital sign detection. In this article, an improved adaptive parameter variational mode decomposition (IAPVMD) algorithm is proposed for FMCW radar vital sign
L. Qu   +3 more
semanticscholar   +1 more source

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   +3 more
openaire   +1 more source

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