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2006 First International Multi-Symposiums on Computer and Computational Sciences
Research on a Denoising Method Based on Wavelet Packet Shrinkage for Pulp
Hangzhou, Zhejiang, China
June 20-June 24
ISBN: 0-7695-2581-4
ASCII Text
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Peng Jiang, Qingbo Huang, Yaguang Kong, Li Chai, "Research on a Denoising Method Based on Wavelet Packet Shrinkage for Pulp," Computer and Computational Sciences, International Multi-Symposiums on, vol. 1, pp. 220-225, 2006 First International Multi-Symposiums on Computer and Computational Sciences, 2006.
 
 
BibTex
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@article{ 10.1109/IMSCCS.2006.115,
author = {Peng Jiang and Qingbo Huang and Yaguang Kong and Li Chai},
title = {Research on a Denoising Method Based on Wavelet Packet Shrinkage for Pulp},
journal ={Computer and Computational Sciences, International Multi-Symposiums on},
volume = {1},
year = {2006},
isbn = {0-7695-2581-4},
pages = {220-225},
doi = {http://doi.ieeecomputersociety.org/10.1109/IMSCCS.2006.115},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer and Computational Sciences, International Multi-Symposiums on
TI - Research on a Denoising Method Based on Wavelet Packet Shrinkage for Pulp
SN - 0-7695-2581-4
SP220
EP225
A1 - Peng Jiang,
A1 - Qingbo Huang,
A1 - Yaguang Kong,
A1 - Li Chai,
PY - 2006
KW - wavelet packet shrinkage
KW - pulp thickness
KW - threshold
KW - threshold function.
VL - 1
JA - Computer and Computational Sciences, International Multi-Symposiums on
ER -
 
Peng Jiang, Hangzhou Dianzi University, China
Qingbo Huang, Hangzhou Dianzi University, China
Yaguang Kong, Hangzhou Dianzi University, China
Li Chai, Hangzhou Dianzi University, China
A denoising method based on wavelet packet shrinkage for pulp thickness signals in paper-making processes was developed in this research. The principle of wavelet packet shrinkage for denoising and the selection of thresholds and threshold functions were analyzed. Comparison of denoising results was made with different thresholds and different threshold functions for pulp thickness signals. The effectiveness of the denoising method based on wavelet packet shrinkage was demonstrated by theoretical analysis and simulations.
Index Terms:
wavelet packet shrinkage, pulp thickness, threshold, threshold function.
Citation:
Peng Jiang, Qingbo Huang, Yaguang Kong, Li Chai, "Research on a Denoising Method Based on Wavelet Packet Shrinkage for Pulp," imsccs, vol. 1, pp.220-225, 2006 First International Multi-Symposiums on Computer and Computational Sciences, 2006
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