人民长江2016，Vol.47Issue(13)：97-101,5.DOI:10.16232/j.cnki.1001-4179.2016.13.022
自适应 LMD 融合新小波阈值函数的信号去噪
Signal de -noising by new wavelet threshold function integrated with self -adaption Local Mean Decomposition
摘要
Abstract
To solve the de -noising problem of nonlinear and nonstationary signal,based on the analysis of the characteristics of LMD noise decomposition,and combining with the adaptive optimization function,a new method of signal de -noising that combines the wavelet threshold function and self -adaption Local Mean Decomposition was proposed.Then the de -noising effects by EMD,Harr wavelet,LMD and the new method were verified by simulation signal and actual engineering signal.The results showed that the new method could fully explore the physical mechanism and laws of the data itself and mix the new thresh-old value function based on the decomposition characteristics of white noise.关键词
局部均值分解 LMD/经验模态分解 EMD/新阈值函数/信号去噪Key words
Local Mean Decomposition/Empirical Mode Decomposition/new threshold value function/de -noising分类
信息技术与安全科学引用本文复制引用
王奉伟,周世健,罗亦泳..自适应 LMD 融合新小波阈值函数的信号去噪[J].人民长江,2016,47(13):97-101,5.基金项目
国家自然科学基金资助项目（41374007）；江西省自然科学基金项目（20151 BAB213031）；测绘地理信息江西省研究生创新教育基地项目 （）
