Results 31 to 40 of about 296,188 (298)
IEEE Access, 2020 This paper describes a novel multichannel signal denoising approach based on multivariate variational mode decomposition (MVMD). MVMD is the extended version of the variational mode decomposition (VMD) algorithm for multichannel data sets.
Peipei Cao, Huali Wang, Kaijie Zhou
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Short-term traffic flow prediction: An ensemble machine learning approach
Alexandria Engineering Journal, 2023 The inconvenience of travel, air pollution and consequent economic losses caused by traffic congestion have seriously restricted the healthy and sustainable development of cities in China.
Guowen Dai, Jinjun Tang, Wang Luo
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Drought Forecasting Using Integrated Variational Mode Decomposition and Extreme Gradient Boosting
Water, 2023 The current study seeks to conduct time series forecasting of droughts by means of the state-of-the-art XGBoost algorithm. To explore the drought variability in one of the semi-arid regions of Turkey, i.e., Denizli, the self-calibrated Palmer Drought ...
Ö. Ekmekcioğlu
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Variational Mode Decomposition Features for Heartbeat Classification
Computing in Cardiology Conference (CinC), 2018 In software applications to analyse Heart Rate Variability (HRV) or to detect heart rhythm disorders, automatic heartbeat classification is a first step to expose abnormalities in the electrical activity of the heart. We propose a new morphological description of heartbeats based on Variational Mode Decomposition (VMD) to classify them as normal ...
Villa Gómez, A. +4 more
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ROTOR FAULT FEATURE EXTRACTION METHOD USING MVMD AND IEDPE (MT)
Jixie qiangdu, 2023 To accurately characterize the different operating states of the rotor system, a modified variational mode decomposition（MVMD） combined with instantaneous energy distribution permutation entropy（IEDPE） is proposed to quantify and extract rotor fault ...
WU YaoChun +6 more
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Zhejiang dianli, 2022 In view of the difficulty in signal identification in vibration acoustic detection of post porcelain insulators， A BP （backpropagation） neural network identification method based on variational mode decomposition （VMD） is proposed to identify the damage ...
LUO Hongjian +3 more
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Harmonic Detection for Power Grids Using Adaptive Variational Mode Decomposition
Energies, 2019 The harmonic pollution problem in power grids has become increasingly prominent with the large-scale application of power electronic equipment, nonlinear loads, and renewable energy.
Guowei Cai +4 more
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Frontiers in Energy Research, 2023 With the emergence of various new power systems, accurate wind power prediction plays a critical role in their safety and stability. However, due to the historical wind power data with few samples, it is difficult to ensure the accuracy of power system ...
Hang He, Hang He, Manman Yuan
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Reduced-order variational mode decomposition
, 2022 A novel data-driven method of modal analysis for complex flow dynamics, termed as reduced-order variational mode decomposition (RVMD), has been proposed, combining the idea of the separation of variables and a state-of-the-art nonstationary signal-processing technique -- variational mode decomposition.
Liao, Zi-Mo +5 more
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Radar fingerprint extraction via variational mode decomposition [PDF]
2017 25th Signal Processing and Communications Applications Conference (SIU), 2017 In iMs paper, a novel method for extracting radar fingerprint using the unintentional modulation on radar signals is proposed. Proposed technique decomposes the unintentional modulations into its components using Variational Mode Decomposition (VMD) technique. Then, features that characterize each component are calculated.
Gokhan Gok +2 more
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