| 基于解析信号的小波变换及其应用 |
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| 引用本文： | 吴今培,吴伟蔚. 基于解析信号的小波变换及其应用[J]. 吉首大学学报(自然科学版), 2002, 23(1): 4-7 |
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| 作者姓名： | 吴今培 吴伟蔚 |
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| 作者单位： | (五邑大学智能技术与系统研究所，广东 江门 529020） |
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| 基金项目： | 广东省自然科学基金资助项目 (990 82 8) |
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| 摘 要： | 提出对信号的解析进行小波变换，从而可直接计算出信号能量的时-频分布.使分析结果能象短时Fourier变换、Wigner分布那样直观地显示出来，解决了小波分析的可视性问题.用这种算法在调频信号的分析、消噪和故障诊断上应用说明了它的优点.
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| 关 键 词： | 小波变换 解析信号 故障诊断 |
| 文章编号： | 1007-2985(2002)01-0004-04 |
| 修稿时间： | 2001-09-04 |
Wavelet Transform Based on Analytic Signal and Its Application |
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| WU Jin pei,WU Wei wei. Wavelet Transform Based on Analytic Signal and Its Application[J]. Journal of Jishou University(Natural Science Edition), 2002, 23(1): 4-7 |
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| Authors: | WU Jin pei WU Wei wei |
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| Affiliation: | (Wuyi University Jiangmen,Jiangmen 529020,Guangdong China) |
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| Abstract: | Wavelet transform based on analytic signal is proposed, with its properties discussed. By this method, the energy of the signal in a certain frequency subband, which may change with time, can be calculated out like Wigner distribution. The outcome of the transform can be visualized easily, overcoming the drawbacks of common wavelet transform. Three examples are given, which include its application on time-frequency analysis, denoising and fault diagnosis. |
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| Keywords: | wavelet transform analytic signal fault diagnosis |
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