| 基于二进小波变换的奇异信号消噪 |
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| 引用本文： | 杨建平 余晓光. 基于二进小波变换的奇异信号消噪[J]. 井冈山学院学报, 2007, 28(6M): 20-22 |
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| 作者姓名： | 杨建平 余晓光 |
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| 作者单位： | 井冈山学院数理学院,江西吉安343009 |
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| 基金项目： | 江西省教育厅教改资助课题（赣教高宁[2005]95号） |
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| 摘 要： | 小波变换在时、频两域均具有表征信号局部特征的能力，是描述和检测信号局部性质的有效手段；利用小波变换模极大值能检测出信号上的所有奇异点，根据小波变换模极大值随尺度的增、减规律，去除噪声对应的极值点，再由模极大值重构信号，提出了小波变换基于奇异信号的消噪方法，并应用于对一瞬时心率信号进行消噪。
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| 关 键 词： | 二进小波变换 奇异性 模极大值 Lipschitz指数 |
| 文章编号： | 1673-4718（2007）06-0020-03 |
| 修稿时间： | 2007-03-12 |
A de-noise research by dyadic wavelet transform based on signal''''s singularity |
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| YANG Jian-ping, YU Xiao-guang. A de-noise research by dyadic wavelet transform based on signal''''s singularity[J]. Journal of Jinggangshan University, 2007, 28(6M): 20-22 |
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| Authors: | YANG Jian-ping YU Xiao-guang |
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| Abstract: | Wavelet transform has the ability of expressing signal's singularity in time and frequency field,is an effective measurement to describe and detect signal's partial property.It can detect all singularity points of signals for utilizing modular maximum of wavelet transform.We can remove the noise maximum point,bases on the increase or decrease discipline of wavelet transform modular maximum along with scales,and use the modular maximum to reconstruct signal,put forward a de-noise method based on signal's singularity with wavelet transform,and apply it to de-noise a signal of heart rate. |
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| Keywords: | dyadic wavelet transform singularity modular maximum lipschitz exponent |
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