The methods extracting multi - scale damage features of nonlinear structures are studied based on wavelet transformation.

研究基于小波变换的非线性结构 多尺度 损伤特征提取方法.

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Secondly , wavelet transformation method is adopted to withdraw vehicle features and then to assort vehicles automatically.

采用小波变换方法提取车辆特征数据可以实现对车辆的自动分类.

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This article finally introduced the wavelet transformation digital watermark inserts with the examination simulation simulation.

本文最后介绍了小波变换的数字水印嵌入和检测模拟仿真.

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The wavelet transformation by Gabor wavelet is applied to the time - frequency analysis of disperse plate waves.

基于小波变换和模态声发射理论,通过模态声发射试验的方法确定了管道中导波传播的频散特性.

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This article tree complex wavelet transformation to the core image denoising, and good effect is obtained.

岩心图像的去噪是后续的目标检测与定量分析的关键.

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The wavelet transformation ( WT ) is a very powerful tool for the analysis of non - stationary signals.

小波分析是分析 非 稳定信号的一种非常有效的方法.

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The function of wavelet transformation in the diagnosis of singular signal is elaborated.

阐述了小波变换在诊断奇异信号中的作用.

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For wavelet transformation can reduce dimension and interfere information , so improve face recognition rate and speed.

由于小波变换方法降低了图像维数,并且降低了干扰信息, 因此提高了识别率及识别速度.

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This paper also carries out research on image edge detection by wavelet transformation.

此外,本文还对小波变换在图像边缘检测中的应用做了有益的尝试.

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