| 小波变换在信号奇异性检测中的应用 |
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| 引用本文： | 杨超,胥泽银,卢玉蓉.小波变换在信号奇异性检测中的应用[J].石油工业计算机应用,2003,11(2):24-27. |
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| 作者姓名： | 杨超 胥泽银 卢玉蓉 |
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| 作者单位： | 成都理工大学信息管理学院 |
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| 摘 要： | 小波变换是近年在数据处理和数字信号处理发展迅速的一种新的方法,具有良好的时一频局部化能力,为信号的时一频分析提供了有效的分析方法。本文详细讨论了小波变换、多尺度分析及其时一频特性,同时针对Fourier分析的局限性,研究小波变换来分析信号的奇异性。
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| 关 键 词： | 小波变换 多尺度分析 时一频窗 信号奇异性检测 |
WAVELET TRANSFORM IN DETECTING OF SINGULAR SIGNAL |
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| Abstract: | Wavelet transform is a rapidly developing area in the mathematical sciences which is emerging as an independent field of investigation. Its major superiorities lie in good localization property in both time domain and frequency domain. Application of it to the signal has good prospects. Owing to the limitation of Fourier transform , the authors of this paper have researched wavelet transform in the detection of singular signal. |
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| Keywords: | wavelet transform multi-scale analysis time-frequency window detection of singular signal |
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