太原理工大学学报2012，Vol.43Issue(3)：339-343,5.
改进的LMD算法及其在EEG信号特征提取中的应用
The Improved LMD Algorithm and Its Application in the EEG Feature Extraction
摘要
Abstract
Aimed at the end effects produced in the process of local mean decomposition,a new method based on weighted matching similar waveform was proposed to reduce the impact of end effects and strengthen the effect of EEG feature extraction,Take advantage of the feature that similar wavelets repeat in one waveform,wavelets being similar to tip waveform can be extracted to obtain the weighted averaged wavelet.Then this wavelet is used to extend the original signal.The simulation results indicate that this new method restrained the LMD end effects and extracted the EEG features effectively.关键词
局部均值分解/端点效应/相似波形加权匹配/特征提取/脑电信号Key words
local mean decomposition (LMD)/end effect/weighted matching similar waveform/feature extraction/EEG signal分类
信息技术与安全科学引用本文复制引用
朱晓军,吕士钦,王延菲,余雪丽..改进的LMD算法及其在EEG信号特征提取中的应用[J].太原理工大学学报,2012,43(3):339-343,5.基金项目
国家自然科学基金(60873139) （60873139）
教育部高校博上点基金(200801120007) （200801120007）
