摘要： 针对在经验模态分解的过程中由于间断信号造成的模态混叠问题，提出利用对信号作经验模态分解得到的第1个固有模态函数的瞬时频率和幅度定义归一化幅频系数，分离出间断信号。实验结果证明，该方法可以克服间断信号对后续经验模态分解的影响，将间断信号分离为一个固有模态函数。

关键词: 希尔波特-黄变换, 经验模态分解, 模态混叠, 间断信号

Abstract: Aiming at the mode mixing problem caused by intermittency signal in the sifting process of Empirical Mode Decomposition(EMD), this paper proposes a new method that can separate the intermittency signal by normalized amplitude-frequency coefficie which is defined by the instantaneous frequency and amplitude of the first Intrinsic Mode Function(IMF). The results indicate that the influence of intermittency signal is removed in the following empirical mode decomposition and the intermittency signal can be decomposed into one intrinsic mode function.

Key words: Hilbert-Huang Transform(HHT), Empirical Mode Decomposition(EMD), mode mixing, intermittency signal

中图分类号: 

• TP391