Film Thickness of Lithium Battery Fast De-Noising Based on Atomic Sequence Template Library

Gong Chen, Xifang Zhu, Qingquan Xu, Ancheng Xu, Hui Yang

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.


Keywords


film thickness of lithium battery；template- matching pursuit；sparse decomposition

Full Text:

PDF


DOI: http://doi.org/10.11591/ijeecs.v12.i8.pp6088-6093

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

The Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

shopify stats IJEECS visitor statistics