| 小波阈值去噪技术研究及其在信号处理中的应用 |
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| 引用本文： | 关山,王龙山.小波阈值去噪技术研究及其在信号处理中的应用[J].计算机工程与设计,2008,29(22). |
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| 作者姓名： | 关山 王龙山 |
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| 作者单位： | 吉林大学,机械科学与工程学院,吉林,长春,130025 |
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| 摘 要： | 阈值函数的选取以及阈值的确定是小波收缩消噪的关键问题,阐述了小波变换及小波阈值去噪的基本原理.基于噪声和信号在小波变换下表现出截然不同的性质:噪声对应的小波变换系数将随着尺度的增大迅速衰减,建立了小波收缩消噪的统一框架.在该框架下总结了各种阈值函数的形式以及阈值确定的方式,研究了它们的性能及特点.仿真实验结果表明,该方法既能有效地去除信号噪声,又能较好地保留原信号中的突变信息.
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| 关 键 词： | 信号处理 去噪 小波变换 阈值 阈值函数 |
Research on wavelet threshold denoising and its application in signals'processing |
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| GUAN Shan,WANG Long-shan.Research on wavelet threshold denoising and its application in signals'processing[J].Computer Engineering and Design,2008,29(22). |
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| Authors: | GUAN Shan WANG Long-shan |
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| Affiliation: | GUAN Shan,WANG Long-shan(College of Mechanical Science , Engineering,Jilin University,Changchun 130025,China) |
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| Abstract: | The selection of threshold function and threshold vale are crucial to wavelet shrinkage denoising.The principle of wavelet transform and wavelet threshold denoising are introduced.Based on the completely different properties of the signal and noise in wavelet transform: The wavelet transform coefficient of the noise will sharply decrease with the increase of the scale of the wavelet transform.The generalized frame of wavelet threshold denoising is built.Under this frame,the selection rules of threshold valu... |
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| Keywords: | signals processing denoising wavelet transform threshold value threshold function |
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