小波变换多尺度分解系数阈值选择在一维去噪的应用  

Multiple-analysis of Wavelet Transform and Selecting Threshold Value in the Applicant of One-dimension Signal Denoising

作　　者：徐铮伟[1] 王世煜[1] 刘财[1] 张猛[1] 刘冰[1] 王睿[1] 

机构地区：[1]吉林大学地球探测科学与技术学院,长春130026

出　　处：《吉林大学学报（地球科学版）》2007年第S1期78-81,共4页Journal of Jilin University：Earth Science Edition

摘　　要：对小波变换理论进行了简单的介绍,并详细分析了基于小波变换对信号去噪处理的原理和实现,并对小波多重分解时选取不同的阈值对去噪效果进行详细的研究。最后结合理论分析和实验实例讨论了小波分析在信号去噪方面的作用,利用光滑性和相似性来评价去噪效果。This article has carried on the simple introduction to the wavelet transformation elementary theory,and analysis the theoretical and experimental example of denoising according to wavelet transform in the one-dimension signal,meanwhile,extremly study the result of denoising by the threshold value obtained by wavelet multiple-analysis.Finally the article union the theoretical analysis and experimental example to discuss the value of denoising,and use likely lubricity and the result appraises the noise reduct...

关 键 词：小波变换 去噪 一维信号 MATLAB 

分 类 号：TN911.4[电子电信—通信与信息系统]