| 小波变换模极大值点在信号去噪中的应用 |
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| 引用本文： | 张宏,张金.小波变换模极大值点在信号去噪中的应用[J].中国科技信息,2010(3):173-174,183. |
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| 作者姓名： | 张宏 张金 |
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| 作者单位： | 哈尔滨理工大学计算机科学与技术学院,150080 |
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| 摘 要： | 如何去除信号中的噪声．得到纯净的信号是信号处理过程中一个热点技术。本研究根据噪声与信号的小波变换模极大值点在多尺度空间上具有不同的特性，对信号进行了噪声消除。试验结果表明，使用傅里叶变换和coif2小波模极大值点法对信号去噪，都能够有效地去除信号中的噪声，且重构后的信号非常逼近原始信号．但coif2小波模极大值点法去噪效果更好。
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| 关 键 词： | 小波变换 模极大值点 Lipschitz指数 信号去噪 |
Application on Wavelet Transform Modulus Maxima Points in Signal De-noising |
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| Zhang Hong,Zhang Jin.Application on Wavelet Transform Modulus Maxima Points in Signal De-noising[J].CHINA SCIENCE AND TECHNOLOGY INFORMATION,2010(3):173-174,183. |
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| Authors: | Zhang Hong Zhang Jin |
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| Institution: | Zhang Hong Zhang Jin Computer Science , Technology College of Harbin University of Science , Technology Harbin 150080 |
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| Abstract: | It is a hotspot in signal processing technology that how to remove noise from signal to make it pure. In this study,the noise in signal was eliminated due to the different characteristics of modulus maxima points of the wavelet transform for signal and noise in multi-scale space. Experimental results show that the use of fourier transform and coif2 wavelet transform modulus maxima of the signal de-noising,are able to effectively remove the signal in the noise,and signal reconstruction,the can be very close ... |
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| Keywords: | Wavelet transform Modulus maxima Index of Lipschitz Signal de-noising |
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