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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 被引量:2

Application of singularities detection in signal analysis based on wavelet transform
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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。 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.
出处 《鞍山科技大学学报》 2006年第3期250-254,共5页 Journal of Anshan University of Science and Technology
关键词 小波变换 奇异性 lipchstiz指数 信号识别 wavelet transform singularities lipchstiz exponents signal identification
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参考文献5

  • 1杨福生.小波变换的工程分析与应用[M].北京:科学出版社,2000..
  • 2MALLAT S, HANG W L. Singularity detection and processing with wavelets[J]. IEEE Trans on Information Theory, 1992,38(22) :617 - 643.
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  • 5徐丙莲,羿旭明.基于小波变换的信号奇异性分析[J].数学杂志,2004,24(6):661-664. 被引量:9

二级参考文献4

  • 1YMeyer.Wavelets and applications[R].1990年京都国际数学家会议报告[R].,1990.1-11.
  • 2徐长发李国宽.实用小波分析方法[M].武汉:华中科技大学出版社,2001.112-113.
  • 3S Mallat, W L Hang.Singularity detection and processing with wavelet[J]. IEEE Trans on Information Theory.1992,38(22):617-643.?A
  • 4贺银芝,沈松,刘正士,应怀樵.基于小波变换的奇异性检测在发动机连杆轴承故障诊断中的应用[J].北京工业大学学报,2000,26(4):72-76. 被引量:12

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