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1. An Adaptive Indicator Optimization Ensemble Empirical Mode Decomposition Method and Its Application on the Denoising of BeiDou B1I Signal NSTL国家科技图书文献中心

Li, Wei |  Zhang, Kai... -  《Automatic Control and Computer Sciences》 - 2024,58(3) - 336~345 - 共10页

摘要: indicator optimization EEMD (AIO-EEMD) signal denoising |  (EEMD) is an effective method for processing nonlinear | ) components during the EEMD reconstructed process is | The ensemble empirical mode decomposition |  and nonsmooth signals, solving the problem of modal
关键词: BeiDou B1I signal |  noise reduction |  reconstructed component number |  AIO-EEMD

2. Research on the Denoising of the Beidou Carrier Signal based on EEMD Algorithm with Adaptive Reconstruction Optimizing of IMF Numbers NSTL国家科技图书文献中心

WEI LI |  KAI ZHANG... -  《WSEAS Transactions on Signal Processing》 - 2020,16 - 155~165 - 共11页

摘要: Decomposition (AIO-EEMD) algorithm has been proposed in this |  noise reduction using the AIO-EEMD method can not only | The Beidou carrier signal is coupled into a |  certain noise during propagation and reception, and |  these noise will directly affect the processing
关键词: Beidou carrier signal |  Adaptive |  Reconstructed component number |  EEMD |  Noise reduction

3. Design of sEMG Acquisition Circuit and Its Adaptive EEMD Denosing Research

Li W. |  Hu W.... -  《International Journal of Circuits, Systems and Signal Processing》 - 2022,16 - 509~516

摘要: (EEMD) method named AIO-EEMD which based on the | © 2022, North Atlantic University Union NAUN | . All rights reserved.The Surface electromyography |  (sEMG) signal is a kind of electrical signal which |  generated by human muscles during contraction. It is prone
关键词: Acquisition circuit |  AIO-EEMD |  Noise reduction method |  Optimum number of cycles |  Surface electromyography
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