MVMD-TCCA: A method for gesture classification based on surface electromyographic signals
Journal of Electromyography and KinesiologyGesture recognition plays a fundamental role in enabling nonverbal communication and interaction, as well as assisting individuals with motor impairments in performing daily tasks. Surface electromyographic (sEMG) signals, which can effectively detect and predict motor intentions, are integral to achieving accurate gesture classification.
Xiantao Sun
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Seismic Random Noise Separation and Attenuation Based on MVMD and MSSA
IEEE Transactions on Geoscience and Remote Sensing, 2022Yijie Zhang, Yang Yang, Naihao Liu
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Protection strategy for fault detection in AC microgrid based on MVMD & differential CUSUM
International Journal of Emerging Electric Power SystemsAbstract In the era of smart grids and microgrids, the transformation of the traditional grid system brings many operational, technical, and economic benefits. However, the complexity of the network due to the integration of various distributed generations (DGs), continuous change of topology, and non-linear load make fault detection ...
Akash Abhisek +2 more
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Milling process stability detection for curved workpiece based on MVMD and LSTM
International Journal of Advanced Manufacturing Technology, 2022Hongyu Jin, Hongya Fu, Zhenyu Han
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An EEG Study of Virtual Reality Motion Sickness Based on MVMD Combined with Entropy Asymmetry
Lecture Notes in Electrical Engineering, 2023Chengcheng Hua +2 more
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Research on Rolling Bearing Fault Diagnosis based on MVMD Energy Entropy and ELM
2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC), 2023Linlin Chen, Quan Chen, Fulong Liu
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Incipient fault feature extraction of rolling bearings based on the MVMD and Teager energy operator
ISA Transactions, 2018Aiming at the problems that the incipient fault of rolling bearings is difficult to recognize and the number of intrinsic mode functions (IMFs) decomposed by variational mode decomposition (VMD) must be set in advance and can not be adaptively selected, taking full advantages of the adaptive segmentation of scale spectrum and Teager energy operator ...
Jun, Ma, Jiande, Wu, Xiaodong, Wang
openaire +2 more sources
Multi-Channel Signal Denoising Method Based on Optimized MVMD Combined with Subspace Projection
2024 8th International Conference on Electrical, Mechanical and Computer Engineering (ICEMCE)Man Jiang, Daqing Wang
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Multi-point deformation monitoring model of concrete arch dam based on MVMD and 3D-CNN
Applied Mathematical ModellingBowen Wei
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Research on Short-Term Wind Power Forecasting Based on MVMD-SSA-BiLSTM
2025 5th International Conference on Intelligent Power and Systems (ICIPS)exaly +2 more sources

