EMD的频带滤波筛分方法

Hilbert—Huang（HHT）变换方法由经验模态分解（EMD）及Hilbert变换两部分组成，能在时频域上正确地描述非平稳非线性信号的局部特征。但由于模态混淆，当信号组合分量的频率太接近时，HHT常不能正确分解窄带信号。针对这一情况，提出了EMD筛分过程的一种新的改进方法——频带滤波HHT方法，并运用此方法成功分解了双自由度线性体系反应的窄带信号。

Improvement on EMD Method of Hilbert-Huang Transform

Hilbert-Huang transform（HHT） is composed of the Empirical Mode Decomposition（EMD） and Hilbert transform. It can describe the local character of nonlinear non-steady signal in the time-frequency domain. But when the frequency of components is too near,HHT cannot shift the narrowband signal because of mode confusion. A new method named frequency-band filtering HHT method was proposed. It was used to shift the narrowband response of linear Binary Degrees of Freedom （BDOF） system.