| 基于经验模态分解的脉搏信号去噪 |
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| 引用本文： | 行鸿彦,许瑞庆.基于经验模态分解的脉搏信号去噪[J].计算机应用与软件,2009,26(8):156-158. |
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| 作者姓名： | 行鸿彦 许瑞庆 |
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| 作者单位： | 南京信息工程大学电子与信息工程学院,江苏,南京,210044 |
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| 摘 要： | 在分析经验模态分解EMD(Empirical Mode Decomposition)算法的基础上,建立了时空滤波方法和软阈值去噪方法.利用两种方法分别对含噪的脉搏信号进行了去噪仿真,结果表明基于EMD的软阈值法去噪效果优于时空滤波去噪法.采用EMD的软阈值法对实际的脉搏信号进行了去噪处理,验证了方法的有效性.
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| 关 键 词： | 脉搏信号 去噪 经验模态分解(EMD) 时空滤波 |
PULSE SIGNAL DENOISING BASED ON EMPIRICAL MODE DECOMPOSITION |
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| Xing Hongyan,Xu Ruiqing.PULSE SIGNAL DENOISING BASED ON EMPIRICAL MODE DECOMPOSITION[J].Computer Applications and Software,2009,26(8):156-158. |
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| Authors: | Xing Hongyan Xu Ruiqing |
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| Affiliation: | School of Electronics and Information Engineering;Nanjing University of Information Science and Technology;Nanjing 210044;Jiangsu;China |
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| Abstract: | Based on analyzing the algorithm of Empirical Mode Decomposition(EMD),the time-space filtering method and the soft threshold denoising method are presented and are used both to simulate the denoising of pulse signal corrupted by Gauss white noise.The result shows that the EMD-based soft threshold method is more effective than time-space filtering method in denoising.The EMD-based soft threshold method is also used to denoise actual pulse signal,its efficiency has been proved. |
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