提出了将信号进行相空间重构后再采用奇异值分解, 对分解后的主成分进行包络分析, 从而提取信号的隐含特 征的方法, 并将该方法应用于齿轮的局部故障振动特征信号的提取中。数值仿真实验结果表明, 该方法能有效提取强背景 信号及噪声中的弱冲击特征信号, 是一种有效的弱信号特征提取方法。采用该方法对齿轮振动信号进行故障特征提取与识 别, 结果与实际情况相符。-Signal implicit characteristic of phase space reconstruction, and th

小波包分析提取振动信号中的特征频率，表示出两帧图像间各个像素点的相对情况，包含收发两个客户端的链路级通信程序。- Wavelet packet analysis to extract vibration signal characteristic frequency, Between two images showing the relative circumstances of each pixel, Contains two clients receive link-level commun

毕设内容，高光谱图像基本处理，遗传算法无功优化，小波包分析提取振动信号中的特征频率。- Complete set content, basic hyperspectral image processing, Genetic algorithm based reactive power optimization, Wavelet packet analysis to extract vibration signal characteristic frequency.

可以对振动信号进行局部均值分解以提取特征信号(The local signal can be decomposed to extract the characteristic signal)