| 小波变换的多分辨性及在电力信号分析中的应用 |
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| 引用本文： | 田刚,包志华,堵俊. 小波变换的多分辨性及在电力信号分析中的应用[J]. 南通大学学报(自然科学版), 2005, 4(3): 45-47 |
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| 作者姓名： | 田刚 包志华 堵俊 |
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| 作者单位： | 南京邮电学院,江苏,南京,210003;南通大学,江苏,南通,226007 |
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| 基金项目： | 江苏省教育厅自然科学基金项目（03KJB470104） |
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| 摘 要： | 文章介绍了小波变换的多分辨分析理论及其在电力信号特征提取和消噪方面的应用。通过对仿真结果分析可知，小波分解得到的高频系数能够清晰地反映信号中的细节特征，通过对高频分量的处理和重构可以得到信号中有用的特征量或除去信号中的噪声。
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| 关 键 词： | 小波变换 多分辨率 时频分析 特征提取 白噪声 |
| 文章编号： | 1673-2340（2005）03-0045-03 |
Multi- resolution Characteristic of Wavelet Transformation and Its Application to Electric Signal Analysis |
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| TIAN Gang,BAO Zhi-hua,DU Jun. Multi- resolution Characteristic of Wavelet Transformation and Its Application to Electric Signal Analysis[J]. Journal of Nantong University (Natural Science Edition), 2005, 4(3): 45-47 |
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| Authors: | TIAN Gang BAO Zhi-hua DU Jun |
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| Abstract: | The paper introduced the basic theory of wavelet multi-resolution decomposition and studied its application to feature extracting and noise eliminating of electric signals. The result of simulation analysis showed that high frequency component gained from wavelet decomposition could distinctly reflect the details of signals. Through the disposal and reconstruction of high frequency component in signals, useful features in signals could be obtained or the noise in signals could be removed. |
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| Keywords: | wavelet transformation multi-resolution time-frequency analysis feature extracting white noise |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
