石油地球物理勘探2009，Vol.44Issue(5)：603-608,6.
基于经验模式分解的去噪方法
A new denoising method based on Empirical Mode Decomposition (EMD)
摘要
Abstract
If using EMD to decompose white noise, the product of energy density and average cycle of the intrinsic mode function component will be a constant, based on this conclusion, the EMD filtering denoising method is developed. The analysis for modeling data shows that EMD can be used as a denoising filter, and the denoising effects for the filter is related to the noise level. When noise's variance is less than signal amplitude and there is no high frequency signal, the filter works very well and the results for filtering and denoising are excellent. The denoising effect for the EMD depends on if there are high frequency signal in the data-sets, if there are high frequency signal and the noise level is high, the obvious distortion in the filtering curve can be found.关键词
经验模式分解/EMD滤波去噪法/非平稳信号Key words
Empirical Mode Decomposition/ EMD filtering denoising method/ non-stationary signal分类
天文与地球科学引用本文复制引用
陈凯..基于经验模式分解的去噪方法[J].石油地球物理勘探,2009,44(5):603-608,6.基金项目
本项研究由"浙江省高等学校优秀青年教师资助计划项且(2007J1)"资助. （2007J1）
