| 小波去噪及其在信号检测中的应用 |
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| 引用本文： | 杨宗凯.小波去噪及其在信号检测中的应用[J].华中科技大学学报(自然科学版),1997(2). |
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| 作者姓名： | 杨宗凯 |
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| 作者单位： | Yang Zongkai Assoc. Prof.; Dept. of Electronics & Information Eng.，HUST，Wuhan 430074，China. |
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| 摘 要： | 基于信号和噪声在小波变换下表现出的截然不同的性质，提出了一种非线性的消噪方法．该方法与传统的消噪方法不同，它并非等价于信号通过一个低通或带通滤波器，而是根据信号与噪声的奇异点性质不同进行滤波，因而在改善信噪比的同时，又保持相当高的时间分辨率．理论分析和实验表明该方法特别适合于弱信号的检测和定位
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| 关 键 词： | 小波变换 奇异性 信号消噪 信号检测 |
Noise Elimination by Wavelet and Its Application to Signal Detection |
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| Yang Zongkai Assoc. Prof., Dept. of Electronics & Information Eng.,HUST,Wuhan ,China..Noise Elimination by Wavelet and Its Application to Signal Detection[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,1997(2). |
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| Authors: | Yang Zongkai Assoc Prof Dept of Electronics & Information Eng HUST Wuhan China |
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| Institution: | Yang Zongkai Assoc. Prof., Dept. of Electronics & Information Eng.,HUST,Wuhan 430074,China. |
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| Abstract: | Based on completely different properties of the signal and noise in wavelet transform, a nonlinear noise eliminating method is proposed. Distinguished from the traditional method, it is not equivalent to letting the signal pass a low pass or a bandpass filter, but carrying out the filtering on the basis of the different properties of the singularity of the signal and noise. Therefore, the method proposed not only improves the signal to noise ratio (SNR) but also makes the time resolution remain high. Theoretical analysis and experimental results show that the method is particularly suitable for weak signal detection and positioning. |
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| Keywords: | wavelet transform singularity elimination of noise in signal signal detection |
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