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信号检测的小波原理分析 被引量:2

Analysis on wavelet transform principle for signal detecting
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摘要 当信号有许多突变点时,传统的Fourier变换难以确定各突变点的位置及强弱,利用Wasf(x)的模极大值点来检测f(x)的突变点,若选择小波为光滑的一阶导数。 When the signal has many break points, the traditional Fourier transfrom can hardly be used to detect the position and intensity of the respective break points. The break points of f(x) is detected with the maximum norm points of W a sf(x) . If the wavelet is selected as smooth a derivative, them it could detect the break points of f(x) by it′s maximum amplitude point of wavelet transform.
出处 《陕西师范大学学报(自然科学版)》 CAS CSCD 北大核心 1999年第S1期42-44,共3页 Journal of Shaanxi Normal University:Natural Science Edition
关键词 突变检测 小波变换 信号检测 singularity detection wavelet transfrom signal detection
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同被引文献17

  • 1杨宗凯.小波去噪及其在信号检测中的应用[J].华中理工大学学报,1997,25(2):1-4. 被引量:48
  • 2李建平.小波分析与信号处理[M].重庆:重庆出版社,2001..
  • 3秦前清 扬宗凯.实用小波分析[M].西安:西安电子科技大学出版社,1998..
  • 4彭玉华.小波变换与工程应用[M].北京:科学出版社,2000.115-117.
  • 5CHUI C K. An introduction to wavlets[M]. New York: Academic Press, 1992.
  • 6DAUBECHIES I. The lectures on wavlets[M]. Philadephia: SIAM, 1992.
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  • 8S Mallat,S Zhong.Characterization of signals from multi-scale edges[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1992,14(7):710~732.
  • 9S Mallat,W LHwang.Singularity detection and processing with wavelets[J].IEEE Trans on Information Theory,1992,38(2):617~643.
  • 10S Mallat.Zero-crossings of a Wavelet Transform[J].IEEE Trans.On Infor-mation Theory,1991,37(7):1019~1033.

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