Method for filtering proportional valve-frequency-response test data containing impulsive noise
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[1] Gabriel Rilling,et al. Empirical mode decomposition as a filter bank , 2004, IEEE Signal Processing Letters.
[2] M. Benbouzid,et al. EEMD-based wind turbine bearing failure detection using the generator stator current homopolar component , 2013 .
[3] Norden E. Huang,et al. Ensemble Empirical Mode Decomposition: a Noise-Assisted Data Analysis Method , 2009, Adv. Data Sci. Adapt. Anal..
[4] T. Wang,et al. Comparing the applications of EMD and EEMD on time-frequency analysis of seismic signal , 2012 .
[5] N. Huang,et al. A study of the characteristics of white noise using the empirical mode decomposition method , 2004, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[6] T. S. Radhakrishnan,et al. Baseline drift removal and denoising of MCG data using EEMD: role of noise amplitude and the thresholding effect. , 2014, Medical engineering & physics.
[7] Rajesh Patel,et al. Denoising of multichannel MCG data by the combination of EEMD and ICA and its effect on the pseudo current density maps , 2015, Biomed. Signal Process. Control..
[8] Yaguo Lei,et al. A review on empirical mode decomposition in fault diagnosis of rotating machinery , 2013 .
[9] Rajesh Patel,et al. Ocular artifact suppression from EEG using ensemble empirical mode decomposition with principal component analysis , 2016, Comput. Electr. Eng..
[10] Saeed Vaseghi,et al. Speech recognition in impulsive noise , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.
[11] N. Huang,et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[12] Wei,et al. DYNAMIC CHARACTERISTICS OF LARGE FLOW RATING ELECTRO- HYDRAULIC PROPORTIONAL CARTRIDGE VALVE , 2008 .
[13] Yan Zhang,et al. An improved filtering method based on EEMD and wavelet-threshold for modal parameter identification of hydraulic structure , 2016 .
[14] Jin Chen,et al. Feature extraction of rolling bearing’s early weak fault based on EEMD and tunable Q-factor wavelet transform , 2014 .
[15] Y. Jeng,et al. Natural logarithm transformed EEMD instantaneous attributes of reflection data , 2013 .