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CHEN Gong, ZHU Xifang, XU Qingquan, XU Ancheng, YANG Hui. Applications of wavelets and sparse decomposition in non-continuous film de-noising[J]. LASER TECHNOLOGY, 2014, 38(4): 546-550. DOI: 10.7510/jgjs.issn.1001-3806.2014.04.022
Citation: CHEN Gong, ZHU Xifang, XU Qingquan, XU Ancheng, YANG Hui. Applications of wavelets and sparse decomposition in non-continuous film de-noising[J]. LASER TECHNOLOGY, 2014, 38(4): 546-550. DOI: 10.7510/jgjs.issn.1001-3806.2014.04.022
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Applications of wavelets and sparse decomposition in non-continuous film de-noising

  • School of Electronic Information and Electrical Engineering, Changzhou Institute of Technology, Changzhou 213022, China

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  • Received Date: August 19, 2013
  • Revised Date: September 01, 2013
  • Published Date: July 24, 2014
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    • Abstract
  • In order to avoid measuring the inherent frequency and the scanning vibration frequency of C-dynamic scanning system before measuring discontinuous film thickness of lithium battery with laser sensors, the 3-layer wavelet-threshold judgment-sparse decomposition signal processing de-noising method was used. Theoretical analysis and experimental verification were made. Without prior knowledge of the inherent frequency and the scanning vibration frequency and under different C-dynamic scanning mode, the best-matching atomic sequence was selected by iteration and the film thickness distribution of lithium battery was reserved, fluctuations of the local noise were filtered and sparse iterative de-noising was realized. The results show that comparing with the wavelet algorithm and in the absence of the prior knowledge, sparse decomposition algorithm has better de-noising performance and is a simple, practical and effective method. Mean square error of sparse decomposition algorithm is 5μm~7μm.
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    • References (12)
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