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基于小波变换的奇异性检测在信号分析中的应用
引用本文:欧阳鑫玉,唐跃鹏.基于小波变换的奇异性检测在信号分析中的应用[J].鞍山科技大学学报,2006,29(3):250-254.
作者姓名:欧阳鑫玉  唐跃鹏
作者单位:[1]鞍山科技大学电子与信息工程学院,辽宁鞍山114044 [2]中冶北方工程技术有限公司,辽宁鞍山114002
摘    要:为了找到美元图像4个边缘的宽度,首先对图像进行长、宽方向的投影。投影信号中的突变最激烈的点就是边缘的起始处和终止处,将小波变换检测信号的奇异性理论应用于这种突变点的检测中。详细地分析了如何选择合适的小波基以及如何选择合适的尺度来进行突变点的定位方法。

关 键 词:小波变换  奇异性  lipchstiz指数  信号识别
文章编号:1672-4410(2006)03-0250-05
收稿时间:2005-12-20
修稿时间:2005年12月20日

Application of singularities detection in signal analysis based on wavelet transform
OUYANG Xin-yu, TANG Yao-peng.Application of singularities detection in signal analysis based on wavelet transform[J].Journal of Anshan University of Science and Technology,2006,29(3):250-254.
Authors:OUYANG Xin-yu  TANG Yao-peng
Abstract:In order to find the width of four homers in dollar image, projections were first performed in length and width orientation. It was observed in the projections that the sharp points were usually located at the position responding to the end or start of the edge. Singulative theory of detecting signal based on wavelet transform was applied to the detection of this kind of sharp points. The method was also analyzed in detail on how to select the proper wavelet and the proper scale to orientate sharp points.
Keywords:wavelet transform  singularities  lipchstiz exponents  signal identification
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