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1)  Reconstruction from modulus maxima
模极大值重构
1.
,enhancement algorithm of reconstruction from modulus maxima,spatial correlation enhancement algorithm and wavelet threshold enhancement algorithm),and then the advantages and disadvantages are compared respectively.
介绍了三种基于小波域的增强算法,即模极大值重构增强算法、空域相关增强算法、小波阈值增强算法,并且分别比较了各自的优缺点。
2)  Module maximum
模极大值
1.
Noise-suppressing image fusion based on module maximum and correlation;
基于模极大值和相关性的图像噪声抑制融合算法
2.
The accurate time when the cutter is worn or broken can be detected by the module maximum point in wavelet transformation results, and the state of cutter's wear can be shown by the value of singular index.
利用小波变换对切削力信号进行分析 ,变换结果的模极大值点反映了刀具发生磨损或破损的时刻 ,而其奇异性指数的大小则反映了刀具的磨损状况。
3.
The singular value decomposition of wavelet transformation module maximum value matrix is proposed.
提出了基于小波变换模极大值矩阵奇异值分解的方法,用该方法获得的奇异值特征矢量作为信号的特征可以压缩特征维数,而且更容易进行计算机自动识别,同时还具有时间平移不变性的突出优点。
3)  modulus maximum
模极大值
1.
Application of wavelet modulus maximum method in denoising processing of oscillo-graphic chronopotentiometric signal;
小波模极大值滤噪法在示波计时电位信号处理中的应用
2.
The application of wavelet transformation modulus maximum technique to the signal extraction;
小波变换模极大值在诱发脑电提取中的应用
3.
A Method based on fast lifting wavelet transform and modulus maximum for detecting power system singular signals;
基于快速提升小波变换的电能畸变信号模极大值检测方法
4)  Maximum module
极大模值
5)  modulus maxima
模极大值
1.
Motion artifact cancellation in electrogastrograms using reconstruction of the wavelet transform modulus maxima;
小波变换模极大值重建方法消除胃电检测中的运动伪迹
2.
Ultrasonic testing of rubber thin-bed thickness based on wavelet transform modulus maxima;
基于小波变换模极大值的橡胶薄层厚度超声检测
3.
Distribution network fault location method based on PT injecting signal and neural network fault diagnosis system tracking the character of wavelet transform modulus maxima;
基于PT在线注入信号及神经网络跟踪小波变换模极大值变化的配电网故障定位方法
6)  modular maximum
模极大值
1.
Study on modular maximum denoising for signal of laser gyro in wavelet domain;
小波域模极大值的激光信号滤波方法研究
2.
The relative situation of the fault can be distinguished by the transient current modular maximum polarity comparison from all the emanating line of a single bus.
当故障发生后,对母线所有出线的暂态电流模量的模极大值进行极性比较就可以判别故障发生的相对位置。
3.
The singularity can be determined by the local modular maximum line and its Lipschitz exponent,which can be obtained through the multi-scale complex continuous wavelet decomposition.
通过对基桩检测信号进行多尺度一维连续复小波分解,得到局部模极大值线(local maxi-mum line),计算模极大值线对应位置的Lipschitz指数值,从而综合判断信号的奇异点位置。
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