1) Translation invariant
平移不变量
1.
Study on translation invariant wavelet denoising method;
平移不变量小波去噪方法的研究
2.
Several popular wavelet denoising methods are introduced herein including the wavelet decomposition and reconstruction method,the nonlinear wavelet threshold denoising method, the translation invariant denoising method and the wavelet transform modulus maxima method.
该文介绍了几种常用的小波去噪方法 ,分别是小波分解与重构法、非线性小波变换阈值法、平移不变量法和小波变换模极大值法。
3.
In this paper a method for wavelet transform based on translation invariant in the image denoising area is researched.
平移不变量小波变换在图像降噪中的应用,主要通过阈值方法来有效的降低图像的噪声,但它的结果中会出现诸如伪吉布斯现象之类的情况。
2) translation invariance
平移不变量
1.
Compared with the traditional de-nosing methods by threshold value and translation invariance,the algorithm increases the signal to noise ratio.
与传统的阈值去噪法和基于平移不变量的去噪算法相比,该算法提高了信噪比。
3) translation invariant metric
平移不变度量
5) Translation invariant
平移不变
1.
Applying translation invariant wavelet transform to de-noising of short-circuit current;
应用平移不变小波变换消除短路电流中的噪声
2.
Translation invariant wavelet transform de-nosing method was used to perform the cycle translation for blasting vibration signals and the soft or hard threshold to compress and reconstruct of the wavelet coefficient of the signals.
传统的小波变换阈值法去噪会使爆破振动信号的急剧变化部分产生人为的振荡现象,产生这种现象的原因是小波缺乏平移不变性。
3.
The reason is that the de_noising algorithm lacks of wavelet translation invariant.
基于传统的小波变换去噪算法可能使信号的急剧变化部分产生人为的振荡现象 ,产生这种现象的一个直接原因是小波缺乏平移不变性。
6) translation invariance
平移不变
1.
Wavelet denoising in deformation data based on translation invariance;
基于平移不变的变形监测数据小波变换去噪处理
2.
The application of translation invariance wavelet transform in image de-noise;
平移不变小波变换在图象降噪中的应用研究
3.
Empirical mode decomposition method based on wavelet with translation invariance algorithm;
基于平移不变小波阈值算法的经验模态分解方法
补充资料:变量与变量值
可变的数量标志和所有的统计指标称作变量。变量的数值表现称作
变量值,即标志值或指标值。变量与变量值不能误用。
变量值,即标志值或指标值。变量与变量值不能误用。
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