%0 Journal Article
%T DENOISING VIA DYADIC WAVELET TRANSFORM<br>基于二进小波变换的信号去噪
%A Zhang Zongping
%A Liu Guizhong
%A Dong Enqing
%A <br>张宗平
%A 刘贵忠
%A 董恩清
%J 电子与信息学报
%D 2001
%I 
%X Signals' representation in dyadic wavelet domain is very redundant. Compared with wavelet series reconstruction, signals' dyadic wavelet reconstruction dependency on the individual coefficients in transform domain will be decreased. Therefore, with the same error decision probability, the better reconstruction can be expected. Based on this idea, this paper extends the existing wavelet-based denoising approaches to the dyadic wavelet-based denoising. Numerical experiments show that the dyadic wavelet-based denoising can significantly improve the signal-to-noise rate (SNR).
%K Wavelet-based denoising
%K Dyadic wavelet-based denoising
%K Nonpararnetric regression<br>二进小波去噪
%K 信号去噪
%K 小波变换
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=4ADA0B9270D374AB&yid=14E7EF987E4155E6&vid=EA389574707BDED3&iid=708DD6B15D2464E8&sid=74253B3A525E9002&eid=602F518C16859E7D&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=10&reference_num=8