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FFT复小波及在设备故障信号分析中的应用

FFT Complex Wavelet and Its Application to Signal Process of Machine Fault Diagnosis
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摘要 提出一种在频域用数字滤波器定义复小波和展缩小波基 ,用FFT实现复小波变换的算法 .该算法可通过控制滤波器的频率截止特性来生成不同特性的小波函数 ; A new algorithm for complex wavelet transform is introduced. The algorithm uses a digital band pass filter to define the complex wavelet in frequency domain. By selecting different orders of the digital band pass filter, the wavelet that has desired time and frequency characteristics can be generated. By changing the cut off frequency of the digital band pass filter, the wavelet can be dilated in different scales. For the complex wavelet that is defined in frequency domain, the FFT and IFFT are used to compute the complex wavelet and do the complex wavelet transformation.
作者 何岭松 熊鹰
出处 《华中科技大学学报(自然科学版)》 EI CAS CSCD 北大核心 2001年第10期65-67,共3页 Journal of Huazhong University of Science and Technology(Natural Science Edition)
关键词 故障诊断 复小波 小波变换 滤波器 设备 fault diagnosis complex wavelet wavelet transform filter
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参考文献3

  • 1[1]Rioul O, Vetterli M. Wavelets and Signal Processing. IEEESignal Processing Magazine, 1991, 8(4): 14~38
  • 2[2]Mallat S. Zero-Crossing of a Wavelet Transform. IEEE Trans Information Theory, 1991, 37(4): 1 019 ~1 033
  • 3[3]Rioul O, Duhamel P. Fast Algorithms for Discrete and Continuous Wavelet Transforms. IEEE Trans. Information Theory, 1992, 38(2): 569~586

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