信号的局部能量和瞬时频率都可以从其本征模函数中推导出来。
The local energy and instantaneous frequency of the signal can be derived from the IMFs.
当信号的频率接近其本征振荡频率时，神经元产生的平均发放率较大，输入信号就能被有效地处理和放大。
When the frequency of input approaches that of the intrinsic oscillation, the mean firing rate induced is bigger, the input signal can be effectively processed and amplified.
利用快速滤波建立了一种对信号进行本征模态函数分解的全新方法。
A new method is introduced to decompose a signal into a set of IMFs (Intrinsic Mode Function) by virtue of fast band-pass filtering.
多重信号分类(MUSIC)算法是通过对数据协方差矩阵进行本征分解获得信号空间谱估计的方法。
MUSIC (MUltiple SIgnal Characterization) is a special spectral estimation method based on the eigen decomposition of the sample covariance matrix.
其中每一个平稳数据层被称为一个本征模式函数，它们代表了信号不同尺度的特性。
Each of smooth layers is called as intrinsic mode function, which represents the signal characteristics of different scales.
用此方法分解信号所得本征模态信号是严格正交的；
The IMFs obtained by the method are strictly orthogonal each other;
用此方法分解信号所得本征模态信号是严格正交的；
The IMFs obtained by the method are strictly orthogonal each other;
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