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
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;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1342203
