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To the Problem of Recognition the Results of Electron Spectroscopy of Nanostructures with the Use of Discrete Wavelet-Transformation

机译:利用离散小波变换来识别纳米结构电子光谱结果的问题

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The article presents application of discrete wavelet transform (Haar wavelet) for the spectra of recognition of two samples - silicon and silicon compound. The method presented by the authors uses the data obtained as a result of the experiment on a scanning electron microscope ZEISS SIGMA SEM HD. The visual comparison of the wavelet coefficients obtained is laborious, so the problem arises of automating the process of comparison and recognition, thus the results of the discrete wavelet transformation are the statistical characteristics-the arithmetic mean, the variance and the standard deviation.
机译:该物品呈现了离散小波变换(HAAR小波)的应用,用于识别两个样品 - 硅和硅化合物的识别光谱。作者呈现的方法使用作为在扫描电子显微镜Zeiss Sigma SEM HD上的实验结果获得的数据。获得的小波系数的视觉比较是艰苦的,因此问题出现了自动化比较和识别过程,因此离散小波变换的结果是统计特征 - 算术平均值,方差和标准偏差。

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