| 基于小波变换的噪声消除算法研究 |
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| 引用本文： | 尹健华,廖继旺,刘云芳. 基于小波变换的噪声消除算法研究[J]. 现代电子技术, 2007, 30(15): 144-146 |
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| 作者姓名： | 尹健华 廖继旺 刘云芳 |
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| 作者单位： | 1. 湖南信息职业技术学院,湖南,长沙,410200
2. 湖南工业职业技术学院,湖南,长沙,410082 |
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| 摘 要： | 噪声是影响测量结果的重要因素,对被测信号进行消噪处理是测量中必不可少的步骤。小波变换因为有去噪相关性等特征,相对于时域更利于去噪。采用dbN小波基信号进行分解,利用小波变换的阈值来消噪,Matlab进行小波降噪仿真。实验结果表明采用这一消噪方法能消除信号中的无用部分,由于采用了软阈值的处理方法,测量信号有一定程度的损失,但基本能重构原有用信号波形。
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| 关 键 词： | 小波 噪声 阈值 |
| 文章编号： | 1004-373X（2007）15-144-03 |
| 收稿时间： | 2007-01-16 |
| 修稿时间： | 2007-01-16 |
Noise Reduction Algorithm Based on Wavelet Transform |
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| YIN Jianhua,LIAO Jiwang,LIU Yunfang. Noise Reduction Algorithm Based on Wavelet Transform[J]. Modern Electronic Technique, 2007, 30(15): 144-146 |
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| Authors: | YIN Jianhua LIAO Jiwang LIU Yunfang |
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| Affiliation: | 1. Hunan Informational college,Changsha,410200,China;2. Hunan Industry Polytecnic College,Changsha,410082,China |
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| Abstract: | Noise is a major factor that affects the result of the measurement.The noise removing process to the signal from measurement is more efficient with regard to time domain because of its relative characteristics,which aim to remove noises by adopting dbN wavelet signals which decomposing and using DBN wavelet transforming threshold.The result of Matlab simulation wavelet devoicing indicates that this method can eliminate useless part,as a result of soft approach threshold,although a certain degree of signal loss,basically reconstruct the original waveform. |
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| Keywords: | dbN |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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