| 小波分析在信号消噪中的应用 |
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| 引用本文： | 张彤晓,郭西进. 小波分析在信号消噪中的应用[J]. 苏州科技学院学报(工程技术版), 2005, 18(1): 74-77 |
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| 作者姓名： | 张彤晓 郭西进 |
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| 作者单位： | 中国矿业大学,信电学院,江苏,徐州,221008 |
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| 摘 要： | 用小波分析进行信号消噪常用多尺度小波变换。多尺度小波变换是将信号分解成高频和低频成分，低频包含信号的主要性能，高频含较多噪声，将高频平滑后再重建即可消噪。消噪处理大致有强制、阈值两种方法。现场试验表明：此方法高效、实用。
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| 关 键 词： | 小波分析 多尺度小波变换 消噪 |
| 文章编号： | 1672-0679(2005)01-0074-04 |
| 修稿时间： | 2004-11-10 |
Application of Wavelet Analysis in Elimination Noise of Signal |
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| ZHANG Tong-xiao,GUO Xi-jin. Application of Wavelet Analysis in Elimination Noise of Signal[J]. Journal of University of Science and Technology of Suzhou:Engineering and Technology, 2005, 18(1): 74-77 |
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| Authors: | ZHANG Tong-xiao GUO Xi-jin |
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| Abstract: | Based on wavelet analysis, the noise of signal was eliminated with multi-scale wavelet transform. Multi-scale wavelet transform is that the signal is decomposed into high and low frequency elements. The low frequency elements include the main performances of the signal while the high frequency elements consist of more noises. So, reconstructing the signal can be achieved after the high frequency elements are flatted. The means of constraint and threshold value were used to eliminate signal noise. Experiments show that this method has high efficiency and practicality. |
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| Keywords: | wavelet analysis multi-scale wavelet transform noise eliminadon |
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