An improved method for wavelet threshold denoisingChinese Full Text
ZHANG Yan;YANG Zhigang;WEI Tai;Gansu Special Equipment Inspection and Research Institute;
Abstract: For the difficulty of selecting threshold value in the traditional wavelet threshold denoising method,a new type of wavelet- empirical model decomposition( EMD)- singular value decomposition( SVD) is proposed. An original signal is decomposed by wavelet transform and a group of detail signals are obtained,however,heavy noise wavelet coefficients are not simply set to zero by wavelet threshold any more,whereas these heavy noise wavelet coefficients are used to EMD and SVD difference spectrum deco... More
Keywords:
wavelet transform; EMD decomposition; SVD decomposition; difference spectrum; weak single extraction;
- Series:
(C) Architecture/ Energy/ Traffic/ Electromechanics, etc; (I) Electronic Technology & Information Science
- Subject:
Telecom Technology
- Classification Code:
TN911.4
- Mobile Reading
Read on your phone instantly
Step 1
Scan QR Codes
"Mobile CNKI-CNKI Express" App
Step 2
Open“CNKI Express”
and click the scan icon in the upper left corner of the homepage.
Step 3
Scan QR Codes
Read this article on your phone.
- Download
- Online Reading
- AI Summary

Download the mobile appuse the app to scan this coderead the article.
Tips: Please download CAJViewer to view CAJ format full text.
Download: 159 Page: 95-97+100 Pagecount: 4 Size: 300K
Citation Network
Related Literature
- Similar Article
- Reader Recommendation
- Associated Author
- [1]改进的小波阈值语音去噪算法[J]. 赵鸿图,刘云. 河南理工大学学报(自然科学版). 2014(05)
- [2]一种基于平移不变的小波阈值去噪算法[J]. 张维强,徐晨. 现代电子技术. 2003(06)
- [3]一种改进的小波阈值去噪算法[J]. 曾金芳,颜昉. 信息记录材料. 2020(05)
- [4]基于改进的小波阈值去噪算法的研究[J]. 景新幸,冼灿娇,杨海燕. 电声技术. 2015(05)
- [5]基于小波阈值的图像去噪算法研究[J]. 董汉磊,舒云星. 电脑编程技巧与维护. 2014(18)
- [6]一种改进的小波阈值去噪算法[J]. 杜诗强,宋宇鲲,张玄,张多利. 微电子学与计算机. 2021(02)
- [7]一种新的小波阈值去噪算法研究[J]. 周建,向北平,倪磊,艾攀华. 机械设计与研究. 2017(06)
- [8]基于虚警概率最大准则的小波阈值去噪算法研究[J]. 付炜,许山川. 计算机科学. 2006(11)
- [9]一种用于信号去噪的小波阈值去噪算法[J]. 谢丽娟,路锋,王旭,李敏. 国外电子测量技术. 2020(04)
- [10]一种改进的小波阈值去噪算法研究[J]. 王大巍. 硅谷. 2012(05)