传统的模极大值序列处理方法虽然可以保留信号特征，但降噪后的信号在奇异点有毛刺和轻微的振荡。
Although traditional processing method of modulus maximum array can retain characteristics of signal, the signal after de-noising exists thorns and slight oscillation at singularity point.
基于小波变换原理，利用小波分析中的奇异性检测方法来对瑞利波频散曲线的特征点和波动区段定位。
Based on the characteristics of wavelet transform, the wavelet Singularity Detection is used to locate the feature point and anomaly extension of the Rayleigh wave dispersion curve.
在声发射信号的处理中使用了时频分析工具—小波包，将信号在不同尺度上分解，以便确定信号在奇异点处的时频特征信息。
In processing the AE signal, the analysis tool of time and frequency-wavelet package is adopted, in order to confirm the characteristics of time and frequency in strange points of the signal.
文章着重介绍应用小波分析中的奇异点探测理论，对磁场刺激下的诱发肌电信号进行分析，实时地提取磁场刺激的诱发肌电信号特征。
The analysis study of EMG signals under magnetic stimulation with the singular point theory of wavelet transformation is introduced which can determine the location of magnetic stimulation signal.
奇异信号中的奇异点及不规则的突变部分经常携带有比较重要的信息 ，它是信号重要的特征之一。
The singular points and irregular transient parts of the singular signal often take some important information, which is one of the main characters of a singular signal.
对应特征点的三维重建是根据三角测量的方法计算其投影矩阵，然后用奇异值分解求出特征点的三维齐次坐标。
Feature points' 3d coordinates are computed through singular value decomposition of projector matrix, then compute projector matrix by triangulation.
对应特征点的三维重建是根据三角测量的方法计算其投影矩阵，然后用奇异值分解求出特征点的三维齐次坐标。
Feature points' 3d coordinates are computed through singular value decomposition of projector matrix, then compute projector matrix by triangulation.
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