计算技术与自动化2011，Vol.30Issue(1)：101-105,5.
基于改进方法EEMD的HHT脉搏信号分析
Pulse Signal Analysis Based on Improved Ensemble Empirical Decomposition of Hilbert-huang Transform
摘要
Abstract
An Ensemble Empirical Mode Function (EEMD) method is used to analyze the pulse signal due to the Mode Mixing (MM) problem of the Empirical Mode Decomposition (EMD) in the traditional Hilbert-Huang Transform (HHT).The EEMD method can keep the integrity of the different area pulse signal by adding random while noise into the original signal. Firstly, the EEMD is used to extract the Intrinsic Mode Function (IMF) from the pulse signal. Then, the Hilbert spectrum and the marginal spectrum of the pulse signal can be achieved by Hilbert transformation and the integration of the Hilbert spectrum, respectively. Thus, quantitative and accurate instantaneous frequency and amplitude can be achieved. It provides reliable basis for the feature extraction and pattern recognition of the pulse signal.关键词
脉搏信号/希尔伯特-黄变换/总体经验模态分解/模态混叠Key words
pulse signal / hilbert-huang transform / ensemble empirical mode function / mode mixing分类
信息技术与安全科学引用本文复制引用
王大才,王英健,范必双,吴利清,顾星..基于改进方法EEMD的HHT脉搏信号分析[J].计算技术与自动化,2011,30(1):101-105,5.基金项目
湖南省教育厅科研基金项目(10C0380) （10C0380）
