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Gong Chen
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Film Thickness of Lithium Battery Fast De-Noising Based on Atomic Sequence Template Library Gong Chen; Xifang Zhu; Qingquan Xu; Ancheng Xu; Hui Yang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp6088-6093

Abstract

The natural frequency and scanning vibration frequency of C-dynamic scanning system of laser sensors are acquired for film thickness of lithium battery de-noising based on multi-resolution wavelet algorithm. For this reason, fast de-noising based on atomic sequence template library is present .First, under various mode of scanning, best atomic sequence template is built by sparse decomposition. Secondly, at the given mode, film thickness data is match to the best atomic sequence to de-nosing. Experimental results show that template-matching pursuit(MP) algorithm is effective and algorithm speed is higher than MP 57 times.
Co-Authors Ancheng Xu Hui Yang Qingquan Xu Xifang Zhu