| 基于EMD自适应滤波的谱分析方法研究 |
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| 引用本文： | 刘增力,徐双,全海燕,郭毅刚.基于EMD自适应滤波的谱分析方法研究[J].昆明理工大学学报(理工版),2009,34(5):22-25. |
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| 作者姓名： | 刘增力 徐双 全海燕 郭毅刚 |
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| 作者单位： | 昆明理工大学,信息工程与自动化学院,云南,昆明,650051 |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 经验模态分解（EMD）是一种分析非线性非平稳信号的时频分析方法．基于该方法提出一种新的自适应滤波算法EMD—LMS，并对滤波后信号进行谱分析．实验表明：与经典的功率谱分析方法相比，本文提出的谱分析方法具有更好的分辨率．
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| 关 键 词： | 经验模态分解 最小均方误差 功率谱分析 |
Study of Spectrum Analysis Based on EMD Adaptive Filter |
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| LIU Zeng-li,XU Shuang,QUAN Hal-yah,GUO Yi-gang.Study of Spectrum Analysis Based on EMD Adaptive Filter[J].Journal of Kunming University of Science and Technology(Natural Science Edition),2009,34(5):22-25. |
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| Authors: | LIU Zeng-li XU Shuang QUAN Hal-yah GUO Yi-gang |
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| Affiliation: | (Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650051 China) |
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| Abstract: | The empirical mode decomposition （EMD） is recently proposed as a new time -frequency analysis tool for nonstationary and nonlinear signals. Based on this, a method of adaptive filter signal analysis - EMD - LMS is firstly introduced in this paper. Secondly, spectrum analysis of simulated signals is carried out with the adoption of EMD - LMS. Compared with traditional power spectrum analysis, EMD - LMS is a better method for signal analysis and processing. |
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| Keywords: | empirical mode decomposition least mean square power spectrum analysis |
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