| 小波包降噪在工业信号预处理中的应用 |
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| 引用本文： | 吴洪艳,高国宏,李俊颖.小波包降噪在工业信号预处理中的应用[J].适用技术之窗,2010(3):115-117. |
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| 作者姓名： | 吴洪艳 高国宏 李俊颖 |
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| 作者单位： | 湛江师范学院信息科学与技术学院,广东湛江524048 |
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| 基金项目： | 基金项目：湛江师范学院科研资助项目 |
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| 摘 要： | 针对工业过程数据含有噪声干扰的特点，本文提出了基于小波包分解的阈值降噪方法进行数据的降噪处理。以化工过程数据为例，通过MATLAB仿真实验，对比了小波包降噪、小波降噪、中值滤波三种方法的降噪效果。结果表明：小波包降噪具有明显的优越性。
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| 关 键 词： | 小波包变换 降噪 信号处理 |
Application of Wavelet Packet En-noising in Industry Signal Pretreatment |
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| Wu Hongyan Gao Guohong Li Junying.Application of Wavelet Packet En-noising in Industry Signal Pretreatment[J].Science & Technology Plaza,2010(3):115-117. |
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| Authors: | Wu Hongyan Gao Guohong Li Junying |
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| Affiliation: | Wu Hongyan Gao Guohong Li Junying (School of Information Science and Technology, Zhanjiang Normal University, Guangdong Zhanjiang 524048) |
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| Abstract: | Aimed at the feature of the industry process data contains noises, this paper proposed wavelet packet threshold de-noising method for noise reduction. Simulated test is made by MATLAB on chemical industry datum. The de-noising capabilities of three methods （wavelet packet threshold de-noising, wavelet threshold de-noising, medium filter） were compared and analysed. The results show that wavelet packet threshold de-noising method is superior to the other two kinds of methods. |
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| Keywords: | Wavelet Packet Transform De-noising Signal Processing |
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