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| 微弱信号提取中的小波方法研究 | |
| 引用本文： | 柯磊,谭佳峰. 微弱信号提取中的小波方法研究[J]. 攀枝花学院学报, 2005, 22(3): 89-90 |
| 作者姓名： | 柯磊 谭佳峰 |
| 作者单位： | 攀枝花学院电气信息工程学院,四川,攀枝花,617000 |
| 摘 要： | 针对于实际应用中的小信号特别是完全被噪声淹没情况下的微弱信号提取的问题，本文依据白噪声信号的小波变换系数相对比有用信号的小波系数小的特点，利用小波变换对信号进行消噪来提取微弱信号，仿真结果表明：小波变换能够有效的消除噪声，将有用微弱信号从受噪声污染的信号中提取出来。 |
| 关 键 词： | 微弱信号 小波变换 信噪分离 弱信号提取 小波方法 噪声信号 小波系数 有用信号 变换系数 消除噪声 |
Research on the extraction of weak signal based on wavelet transform |
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| KE Lei,Tan jiafeng. Research on the extraction of weak signal based on wavelet transform[J]. Journal of Panzhihua University, 2005, 22(3): 89-90 | |
| Authors: | KE Lei Tan jiafeng |
| Abstract: | Due to the picking up issue for those small signal in prattle applications, especially for those delicacy signals, entirety submerged in yawp, The wavelet transform was used to extract the weak signal by de - noising in this paper because the wavelet coefficient of white noise is smaller than that of useful signals. The results of simulation show that the wavelet transform can effectively reduce noise and separate the weak signal from the noise. |
| Keywords: | weak signal Wavelet transform Separation of signal from the noise |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |