| 基于小波变换的微弱信息去噪处理 |
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| 引用本文： | 梅开乡,夏国宏.基于小波变换的微弱信息去噪处理[J].黄石理工学院学报,2006,22(4):18-20,23. |
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| 作者姓名： | 梅开乡 夏国宏 |
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| 作者单位： | 黄石理工学院,湖北,黄石,435003 |
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| 摘 要： | 根据小波变换的基本理论,白噪声的小波特性来阐述小波变换用于“信号去噪处理”的原理,利用Mallab塔形分解算法进行“信号去噪”的仿真试验,取得了满意的效果。仿真结果证明：在信号分析中,利用小波变换来实现“信噪分离并提取弱信号”是一种非常有效的方法。
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| 关 键 词： | 小波变换 去噪处理 极值点 Matlab算法 仿真 |
| 文章编号： | 1008-8245（2006）04-0018-03 |
| 收稿时间： | 2006-03-02 |
| 修稿时间： | 2006-03-02 |
Chirp Processing Based on the Wavelet Transformation Weak Information |
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| Mei Kaixiang,Xia Guohong.Chirp Processing Based on the Wavelet Transformation Weak Information[J].Journal of Huangshi Institute of Technology,2006,22(4):18-20,23. |
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| Authors: | Mei Kaixiang Xia Guohong |
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| Institution: | Huangshi Institute of Technology, Huangshi Hubei 435003 |
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| Abstract: | According to wavelet transformation elementary theory,and white noise wavelet characteristic,it elaborates the principle about the wavelet transformation used in "the signal goes to chirp processing".It carries on the simulation experiment by using the Mallab towershaped decomposition algorithm,and has obtained the satisfactory effect.Simulation result proves that in the signal analysing,using the wavelet transforms to realize "the letter chirp to separate and to extract the weak signal" is an extremely effective method. |
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| Keywords: | the wavelet transforms chirp the processing extreme point Matlab algorithm simulation |
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