| 微弱信号检测方法研究 |
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| 引用本文： | 高科,孙晶华.微弱信号检测方法研究[J].微型机与应用,2011,30(21):67-68,71. |
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| 作者姓名： | 高科 孙晶华 |
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| 作者单位： | 哈尔滨工程大学理学院,黑龙江哈尔滨,150001 |
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| 摘 要： | 噪声是限制微弱信号检测系统的首要因素。对于微弱信号检测来说,如能有效克服噪声,就可提高信号检测的灵敏度。研究利用自适应滤波和小波分析来对微弱信号进行降噪,通过Matlab仿真证明,自适应滤波和小波分析对噪声有着很强的抑制作用。
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| 关 键 词： | 自适应滤波 小波分析 噪声 |
Research in the method of detecting for weak signal |
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| Gao Ke,Sun Jinghua.Research in the method of detecting for weak signal[J].Microcomputer & its Applications,2011,30(21):67-68,71. |
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| Authors: | Gao Ke Sun Jinghua |
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| Affiliation: | Gao Ke,Sun Jinghua(College of Science,Harbin Engineering University,Harbin 150001,China) |
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| Abstract: | The noise is the most important factor to limit the system of weak signal detection. Regarding the weak signal detection, if can overcome the noise effectively, may enhance the signal detection the sensitivity. This article studies uses the adaptive filtering and the wavelet analysis carries on the noise reduction to the weak signal. Have the very strong inhibitory action through the MATLAB simulation certificate adaptive filtering and the wavelet analysis to the noise. |
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| Keywords: | adaptive filtering wavelet analysis noise |
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