摘要
介绍了两种信号谱分析方法———基于Fourier变换思想的波谱分析及基于经验模态分解的H ilbert边际谱分析,并将其分别应用到纱线信号的时频分析中。基于经验模态分解的边际谱分析方法是一种完全不同于传统Fourier谱分析的新方法,文中介绍了H ilbert边际谱的求解过程,通过将Fourier谱图与H ilbert边际谱进行对比可知,H ilbert边际谱更适用于对纱线信号的非平稳过程处理。
This article introduces two spectrum analysis methods, the wave spectrum based on Fourier transform and the Hilbert marginal spectrum based on empirical mode decomposition （EMD）, and their application on yarn signal＇s time frequency analysis. The marginal spectrum based on EMD is proposed recently and differs with traditional Fourier spectrum completely. By comparison with the Fourier spectrnm, it shows that the Hilbert marginal spectrum is more suitable for processing the non-stationary signal of yarn.
出处
《上海纺织科技》
北大核心
2006年第2期21-22,共2页
Shanghai Textile Science & Technology
关键词
测试
纱线信号
谱分析
波谱图
Hilbert边际谱
经验模态分解
testing
yarn signal
spectrum analysis
wave spectrum
Hilbert marginal spectrum
empirical mode decomposition
