期刊文献+

一种奇异信号测量中的小波分析方法 被引量:8

A new Algorithm for Singular Signal Measurement Based on Wavelet Transformation
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摘要 本文提出了一种新的信号奇异性检测方法———小波变换 ,理论与仿真结果证明 ,对于突变信号或孤立奇异性信号的处理 ,基于小波变换的奇异性检测方法其分辨率要高于FFT方法。文中详细讨论了小波的奇异性检测算法 。 In this paper,a new singularity detection method with wavelet transformation is given. Its also proved by theoretical and emulation that for transient signals or irregular structures,singularity detection based on wavelet transformation has better distinguishing rate than that of FFT.It also discussed the algorithm of singularity detection,and the singularity of sine emulating result is given at last.
出处 《电子测量与仪器学报》 CSCD 2000年第1期13-16,共4页 Journal of Electronic Measurement and Instrumentation
基金 国防预研基金资助项目
关键词 小波变换 信号奇异性检测 频谱分辨率 Wavelet transformation Singularity detection Spectrum distinguishing rate
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参考文献4

  • 1[1]S.G.Mallat, and Wen Liang Hwang, Singularity Detection and Processing with Wavelet, IEEE Trans. On Information Theory, Mar., 1992, 38(2)
  • 2[2]B. Porat and B. Friedlander. Adaptive Detection of Transient Signals. IEEE Trans., 1986, ASSP34(6): 1410~1418
  • 3[3]I.Daubechies. The Wavelet Transform: a Method for Time-Frequency Localization. Advances in Spectrum analysis and Array Processing. Vol. 1, Englewood Cliffs, Nj; Prentice-Hall, 1991: 366~463
  • 4[4]S.G.Mallat. A Theory for Multiresolution Signal Decomposition: the Wavelet Representation. IEEE Tran. On Pattern Analysis and Intelligence, July 1989, 11(7):675~694

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