江西科学Issue(1)：43-46,128,5.DOI:10.13990/j.issn1001-3679.2016.01.011
一种基于局部均值分解的小波阈值信号去噪方法
A Signal Based on Local Mean Decomposition of Wavelet Threshold Denoising Method
摘要
Abstract
In time and frequency analysis, in view of the non-stationary signal filtering denoising problems,as part of the traditional denoising method for nonlinear nonstationary signal filtering effect is not very ideal. Based on local mean decomposition method is put forward by the Smith,combined with the wavelet threshold value,find out a kind of adaptive time-frequency analysis method. Through example analysis, comparison of the wavelet threshold denoising, the wavelet threshold denoising based on EMD and wavelet threshold denoising based on LMD three algorithms in the process of sig-nal filtering denoising effect,using both signal-to-noise ratio and root mean square error evaluation factor to evaluate the three algorithms, results show that the wavelet threshold denoising method based on LMD can get rid of the signal to noise,the better the signal denoising provides a new way of thinking.关键词
小波阈值/局部均值分解/滤波去噪/EMDKey words
wavelet threshold value/local mean decomposition/filtering denoising/EMD分类
信息技术与安全科学引用本文复制引用
李骁,周世健..一种基于局部均值分解的小波阈值信号去噪方法[J].江西科学,2016,(1):43-46,128,5.基金项目
国家自然科学基金资助项目（41374007) （）
测绘地理信息江西省研究生创新教育基地项目。 （）
