摘要
论述了小波变换的一般理论和小波变换在信号降噪中的应用,比较了不同小波基、阈值和分解层数下的小波降噪结果.并在matab平台上仿真实现,利用信号噪声比(SNR)和均方根误差(RMSE)这2个评价指标评价小波降噪的效果.实验结果表明,小波变换在信号降噪中能取得较好的结果.
The general theory of wavelet transform and the application of wavelet transform in signal de -noising were discussed.Different wavelet de -noising results with different wavelet bases,thresholds and decomposition level were compared .Matlab was used to carry out the simu1 ation.Signal to noise ratio （SNR） and root mean square error （RMSE ）were used to evaluate the effect of wavelet de -noising.Experimental results show that,the wavelet transform obtain better results in signal de-noising.
出处
《湖南科技大学学报（自然科学版）》
CAS
北大核心
2014年第1期84-87,共4页
Journal of Hunan University of Science And Technology：Natural Science Edition
基金
湖南省科技厅重点项目(2013TT1007)
关键词
小波变换
降噪
阈值
matlab
wavelet transform
de-noising
threshold
matlab
