噪声与振动控制Issue(5)：171-176,6.DOI:10.3969/j.issn.1006-1335.2014.05.038
一种改进的集合平均经验模态分解去噪方法
An Improved EEMD-based Denoising Method
摘要
Abstract
An improved EEMD-based denoising method is proposed for denoising processing of non-stationary signals. In this method, the noise is estimated and extracted from the measured signals based on the intrinsic modal function (IMF) energy method, and used to replace the additional noise in the EEMD method. Then, all the accumulative mean IMF components and the residuals are summed up to get the denoised signals. A correlation criterion is used to eliminate the pseudo IMF components after each EMD decomposing, and the noise estimation procedure is improved. Simulation results prove that the improved method is effective in denoising of AM-FM noise signals.关键词
振动与波/集合平均经验模式分解/去噪/噪声估计/阈值处理Key words
vibration and wave/EEMD/denoising/noise estimation/thresholding分类
数理科学引用本文复制引用
屈中阳,李鸿光..一种改进的集合平均经验模态分解去噪方法[J].噪声与振动控制,2014,(5):171-176,6.基金项目
国家自然科学基金项目 （）
