雷达回波信号奇异点携带了大量地下目标物的信息，是借以分析地下物质结构的重要依据。
The singularities of ground Penetrating Radar (GPR) echo wave signals can show the characters of objects or the layer structures under the ground sufficiently.
研究小波分析在机械工程信号处理中的应用，提出通过二进小波变换检测信号奇异点的实用技术。
The application of wavelet theory in signal processing in mechanical engineering field is also discussed and a practical technique for signal singularity detection is proposed.
小波变换具有良好的时频局部性，具有变焦距的特点，对故障信号中的奇异点能够准确识别，是论文中应用的主要分析方法。
Having good time-frequency localization character, and correctly identifying singularity point in fault signal, Wavelet is the main analysis method in this paper.
由信号的奇异点位置很容易确定入射波、缺陷反射波、桩底反射波位置。
Then the incident wave, pile-toe reflection wave and flaw reflection wave can be judged by the position of singularity.
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.
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.
小波包分解本身对信号的奇异点十分敏感，此特点可以用来跟踪电机振动速度信号。
Because the wavelet packet decomposition is very sensitive to signal of the strange point, this characteristics can be used to follow the velocity signal of motor vibration.
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.
从而对信号中的奇异点进行检测，明确地指出转子动静碰摩时奇异点的位置和奇异度的大小，为汽轮发电机组碰摩识别提供了有效的方法。
Thus this means can be used to inspect the singular points and point out the exact position and size of the singular. The application of wavelets offers a…
从而对信号中的奇异点进行检测，明确地指出转子动静碰摩时奇异点的位置和奇异度的大小，为汽轮发电机组碰摩识别提供了有效的方法。
Thus this means can be used to inspect the singular points and point out the exact position and size of the singular. The application of wavelets offers a…
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