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Improved DTCWT-LMS and FastICA Based sEMG Signals Filtering
Li Lin,Wang Jianhui,Fang Xiaoke,Gu Shusheng 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.5
A novel design of dual-tree complex wavelet transform (DTCWT) and fastICA was proposed, aiming at the noise interference and aliasing between multi-channels sEMG signals. Firstly, DTCWT was utilized to decompose signals to different frequency band. Secondly, an improved LMS adaptive filter was designed for filtering sub band noise layer by layer. Finally, fastICA algorithm was introduced to separate crosstalk between channels. Some experiments were carried out to compare the proposed method with other algorithms, and the results showed that the algorithm proposed could filter noise effectively, keep better convergence especially in low signal-to-noise ratio and eliminate crosstalk more thoroughly by fastICA.
Yuan-Bo Shi,Jian-Hui Wang,Xiaoke Fang,Yueyang Huang,Shu-Sheng Gu 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.1
In this paper, the problem of robust mixed H2/H∞ control is studied for an uncertain wireless sensornetwork (WSN) systems with random time delay, packet loss and sensor faults. A system model is establishedbased on the characteristics of uncertain time delay and packet loss in WSN. In this model, system uncertaintiesare represented by random time delay and stochastic packet loss, which are described by a Markov chain. Byusing a Lyapunov-Krasovskii function, a mode-dependent mixed H2/H∞ controller is designed to guarantee boththe stochastic stability of the closed-loop system and the prescribed H2, H∞ control performances. The sufficientconditions for the existence of the controller are proved by a series of Linear Matrix Inequalities (LMIs). If theseLMIs are feasible, the mode-dependent mixed H2/H∞ controller can be obtained. Matlab LMI toolbox is used tocalculate the control law. Finally, a numerical example and its simulation results demonstrated the effectiveness ofthe proposed method