DocumentCode
1562056
Title
The study of pulp thickness signal de-noise method based on translation invariance wavelet transform
Author
Jiang, Peng ; Dai, Xiaohua ; Wang, Zhi ; Sun, Youxian
Author_Institution
Nat. Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
Volume
5
fYear
2004
Firstpage
3822
Abstract
A de-noise method based on translation invariance wavelet transform for pulp thickness signal on paper making process was developed in this work. The algorithm was developed from de-noise algorithm of Donoho´s wavelet threshold and it can suppress pseudo-Gibbs phenomena on the singularity points of signal produced by de-noise algorithm of Donoho´s wavelet threshold. Theoretical analysis and simulation have shown its effectiveness.
Keywords
invariance; paper making; paper pulp; signal denoising; wavelet transforms; Donoho wavelet threshold; paper making process; pseudo-Gibbs phenomena; pulp thickness signal; signal denoising algorithm; translation invariance wavelet transform; Analytical models; Industrial control; Laboratories; Paper making; Signal processing; Sun; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN
0-7803-8273-0
Type
conf
DOI
10.1109/WCICA.2004.1342203
Filename
1342203
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