推导了小波分析与奇异信号检测的之间的关系，并对某压力传感器的信号进行了奇异值的检测。
The relationship between wavelet analysis and singular signal detecting is deduced, and the example of a pressure sensor singular signal detecting is presented.
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.
在寻找重力波信号的过程中，GEO600的科学家们发现了一些奇异现象。
While looking out for a gravitational wave signal, scientists at GEO600 noticed something bizarre.
试验表明，系统可以发现故障机械振动信号带有的奇异性，实现旋转机械的故障诊断。
Experimentation results indicate that the singularity of the fault machinery vibration signal can be detected and the machinery fault can be discovered by the system.
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.
用奇异值分解界定信号和噪声子空间的困难之处，在于有效秩的确定。
A general difficulty of using singular value decomposition (SVD) to split signal and noise subspaces is in the right choice of effective rank.
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.
信号的奇异性通常包含有十分重要的信息，是信号的特征之一。
Singularity signal usually contains very important information, is one of the characteristics of the signal.
利用小波变换系数的模值与信号奇异性指数之间的关系，从调频信号中提取出调制信号的频率。
Frequency of modulated signals is extracted from frequency-modulated signals by using the relationship between the modulus of wavelet transform coefficient and the singular exponent.
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.
奇异谱分析是数字信号分析的一种新方法。
Singular spectrum analysis (SSA) is a novel way to analyze digital signals.
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.
在分析小波变换物理本质和奇异性检测原理的基础上，研究了小波基和白噪声对信号奇异性检测性能的影响。
Based on analyzing the physical essence and the principle of singularity detection, this paper discusses the effect of wavelet bases and white noise on signal singularity detection.
利用奇异值理论提取包含矩阵的奇异值作为气缸爆发噪声信号的特征。
Singular value is extracted as to feature of cylinder explosive noise signal from Cover Matrix with singular value theory.
小波分析具有空间局部化性质，利用小波分析来分析信号的奇异性及奇异性的位置和奇异度的大小是比较有效的。
Wavelet analysis has space localization property. It is very effective to analyze the signal singularity and singularity location and scale by wavelet analysis.
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.
根据斜拉桥结构在振动时受损部位的振动信号的奇异性，利用小波奇异性检测理论分析斜拉桥结构在受损时的振动信号，判断结构损伤情况。
Based by singularity of vibration signal of damage position on cable-stayed bridge as vibrating, we can analyze vibration signal when cable-stayed bridge is damaged to estimate structure damage.
文章给出了基于小波分析的信号奇异性检测理论，通过对突变信号进行小波分析可以发现结构的损伤情况。
The signal singularity detection theory based on wavelets analysis is given. Through the study of those singularity, the damage situation of the structure may be discovered.
本文阐述了利用小波分析来检测信号的奇异特征的原理，并对桩基础检测信号的奇异性进行了提取。
This paper illustrates principle of the peculiarity of signal test based on wavelet analysis, and extracts the peculiarity of signal test in pile foundation.
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.
十分准确地刻画出声波信号的奇异性，并应用于交变语音信号处理中。
The strangeness of acoustic wave signals is precisely described and is applied to the processing of alternating speech signals.
本文利用小波变换系数的模的平方值与信号奇异性指数之间的关系，从超声回波信号中提取出了胎儿的心率。
The fetal heart rate can be extracted from the returning signal of ultrasound by way of the connection between the modulus of the wavelet transform coefficient and the singular exponent.
研究了信号的奇异性检测问题。
由信号小波变换的奇异点在多尺度上的综合表现来表示信号是小波变换引人注意的另一应用领域。
It is an attractive application field for wavelet transform because the signal is expressed by the comprehensive behavior of wavelet transform of singularity spot in multi-dimensional space.
首先分析了地面核磁共振信号的特征和奇异噪声的来源与特点，提出了相应的消除方法并进行了仿真研究。
The features of Surface Nuclear Magnetic Resonance(SNMR) signal for underground water and the sources and characters of the spike noise distortion are analyzed.
提出采用切削力信号的奇异性指数作为衡量刀具磨损的参量。
The singular index of cutting force signal is proposed as a parameter for detecting cutter's wear.
在提出脉冲提取思想的基础上，利用局部放电信号所固有的奇异性特征，将小波变换的奇异性检测原理应用于提取局部放电脉冲。
A wavelet domain singularity detection algorithm, based on the theory of pulse extraction, is applied in partial discharge (PD) pulse extraction utilizing the singularity of PD 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.
傅立叶变换是分析信号奇异性的传统方法。
The Fourier transform is a classical method for analyzing signal singularities.
并且通过从实验台采集到的实际齿轮振动信号分析，利用小波变换对其进行奇异性监测研究，取得了良好的效果。
And through gathering actual gear wheel vibration signal from laboratory, utilizing wavelet transform to study singularity monitoring, has made the good results.
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