本文采用搜索模极大值的方法，进而实现故障的精确测距。
To find out the singularity of the high coefficients of fault signal, the paper adopts the method of searching modulus maxima and realizes the precise rangefinder fault.
因此文中采用了一种有噪声控制的模极大值的算法来进行消噪，取得了较好的处理结果。
Therefore, a modules maxima algorithm controlled by noise is adopted in the paper to remove noise and acquires prefer results.
通过预处理滤除工频周期分量，消除了小波变换在信号峰值处的模极大值，从而避免了对故障的误判。
As wavelet module maxima occur at peaks of signal, the pretreatment removes power frequency periodic components from electric signal and thus avoids misjudgments of fault.
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.
根据模极大值在特征提取中的应用，本文提出了一种基于模极大值的超声波回波探测沉积物分类方法。
A classification method was proposed based on the application of modulus maxima in feature extraction. Different echo is gained to detect different sediment.
基于小波变换的各个尺度上模极大值，本文深入研究了异常心电信号尤其是梗死发生时S - T段的检测。
Based on the modulus maxima at each scale of wavelet transform, this paper does a research into the detection of S-T segment of abnormal ECG, especially that of myocardial infarction.
基于信号的奇异性检测理论，利用小波分解的高频系数是否具有模极大值作为区分稳态和非稳态现象的判据。
Based on the theory of signal strangeness detect, the maxima modulus in high frequency of wavelet resolving can be used as a criterion to classify steady and non-steady state phenomena.
通过对信号与噪声奇异性的分析，得出信号与噪声的小波变换模极大值在各个尺度上的表现截然相反的结论。
The singularities of signals and noises are investigated. A conclusion is drawn that the wavelet modulus maxima of signals have contrary behaviors from that of noises.
通过对信号奇异性的检测和对信号的消噪，提取出了被检测信号的模极大值，进而实现了行波信号的故障测距。
By detecting signal strangeness and reducing signal noise, the paper arrives at the maximum value of the detected signal, thus the fault location of the traveling wave signal is achieved.
探讨了分形测度小波变换极大值线的拓扑分岔情况，并提出了一种基于小波变换模极大值的多重分形谱估算方法。
Topologic bifurcation situation of maxima lines is also discussed. In the end, an estimation for multifractal spectrum is proposed in terms of wavelet module maxima lines.
利用小波变换模极大值和小波熵测度分别对其进行检测，对比表明，小波熵测度能更准确、实时地检测到各种暂态信号。
The contrast between wavelet transform maximal modulus and wavelet entropy shows that the latter is a better approach to detect transient signal accurately and timely.
在论述了小波分析、信号奇异性与小波变换模极大值性质关系的基础上，本文给出了一种基于小波变换模极大值的信号去噪算法。
Based on the wavelet transform and the relation between signal singularity and wavelet transform modular maximum, a noise removal technique is discussed.
利用小波变换模极大值原理，提出了用小波变换尺度谱检测瞬态信号波至点的新方法，研究了其检测无噪声和有噪声条件下的瞬态信号的能力。
Based on the principle of modulus maximum, a new approach using scalogram of wavelet transform for transient signal, under noise free condition or noise condition separately, is described.
以二次光滑小波作为小波函数，对水果红外图像进行二维二进小波变换，计算了小波变换结果的局部模极大值点，从而得到了水果红外图像的轮廓。
A quadratic lubricity wavelet as wavelet function was defined to do the two dimensional dyadic wavelet transform on fruit infrared image, and to get local modulus maxima from the results.
以二次光滑小波作为小波函数，对水果红外图像进行二维二进小波变换，计算了小波变换结果的局部模极大值点，从而得到了水果红外图像的轮廓。
A quadratic lubricity wavelet as wavelet function was defined to do the two dimensional dyadic wavelet transform on fruit infrared image, and to get local modulus maxima from the results.
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