【摘要】 针对传统的时频分析方法存在的局限性,评述了一种最新的可适用于非平稳、非线性信号的时频分析法-Hilbert-Huang时频分析。研究了经验模态分解(Empirical Mode Decomposition,EMD)与希尔伯特变换(Hilbert Transformation,HT)相结合的提取信号瞬时特征的EMD/HS法,并对其性能进行了分析。仿真实验中通过与传统的时频分析效果的比较,表明该法具有理想的时频聚集性,并且消除了交叉干扰项。更多还原

【Abstract】 For the limits of the conventional methods of time-frequency analysis, a novel method-Hilbert-Huang Transformation is analyzed. EMD/HS (Empirical Mode Decomposition/Hilbert Spectrum) algorithm which is used to extract instantaneous features of signals through utilizing the EMD and HT are proposed and its characteristics are analyzed, too. Simulation results show that, compared to conventional methods of time-frequency analysis, the method has perfect time-frequency concentration and eliminates the cross-time interference.更多还原