基于小波包收缩的纸浆去噪方法研究

First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06) Pub Date : 2006-06-20 DOI:10.1109/IMSCCS.2006.115

Peng Jiang, Qingbo Huang, Yaguang Kong, Li Chai

{"title":"基于小波包收缩的纸浆去噪方法研究","authors":"Peng Jiang, Qingbo Huang, Yaguang Kong, Li Chai","doi":"10.1109/IMSCCS.2006.115","DOIUrl":null,"url":null,"abstract":"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","PeriodicalId":202629,"journal":{"name":"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Research on a Denoising Method Based on Wavelet Packet Shrinkage for Pulp\",\"authors\":\"Peng Jiang, Qingbo Huang, Yaguang Kong, Li Chai\",\"doi\":\"10.1109/IMSCCS.2006.115\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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\",\"PeriodicalId\":202629,\"journal\":{\"name\":\"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMSCCS.2006.115\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMSCCS.2006.115","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 4

摘要

提出了一种基于小波包收缩的造纸过程中纸浆厚度信号去噪方法。分析了小波包收缩去噪的原理以及阈值和阈值函数的选择。对不同阈值和不同阈值函数对纸浆厚度信号的去噪结果进行了比较。理论分析和仿真结果验证了基于小波包收缩的去噪方法的有效性

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Research on a Denoising Method Based on Wavelet Packet Shrinkage for Pulp

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

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)

自引率

0.00%

发文量