这些信息可以用于分离信号分量，设计适合于每个分离分量的光滑核。
This information is used to isolate the components, and smoothing kernels are designed using the properties of each isolated component.
结果表明，该方法可以有效地实现动态调制分量与其他信号的分离，准确提取谐波特征。
The results show that the method can effectively separate the dynamic modulation from other parts of radiated noise, and extract harmonic features.
该算法能够分离混合信号中的各个信号分量并可以对混合信号中的各个信号分量进行定量的分析。
The algorithm is able to separate the single signal in the composite signals and quantitatively analyze signal components in the mixed signal.
提出了一种基于WHT的多分量LF M信号的参数估计与信号分离算法。
A new algorithm of the parameter estimation and the signal separating is presented based on multi-component LFM signal with the WHT.
利用局域波法将微弱的故障信号分解为有限的并且具有不同基本模式的分量，每个分量是单一成分信号，实现了信噪分离。
Weak fault signal was divided into finite local wave components with different simple-intrinsic modes, so that signal was separated from noise.
利用局域波法将微弱的故障信号分解为有限的并且具有不同基本模式的分量，每个分量是单一成分信号，实现了信噪分离。
Weak fault signal was divided into finite local wave components with different simple-intrinsic modes, so that signal was separated from noise.
应用推荐