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Hilbert-Huang算法研究 被引量:7

Research on Hilbert-Huang transform
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摘要 非线性、非平稳信号处理一直是热点问题。Hilbert-Huang变换是一种新的信号处理方法,它通过经验模态分解EMD算法和Hilbert变换能够得到信号的时间-频率-能量分布特征。但其在应用中,处理结果精确度不高。基于提高Hilbert-Huang变换的处理结果的精确度,提出了一些改进方法 ,通过MATLAB进行仿真,验证了改进方法的可行性及有效性。 Nonlinear and non-stationary signal processing has been always a hot issue.Hilbert-Huang transform is a new signal processing method, which can get the time-frequency-energy distribution characteristics of the signals through the empirical mode decomposition (EMD) and Hilbert transform. But when it is in application, the results gained are not very precise,some improvements are proposed, and it proved feasibility and useful through MATLAB simulation.
出处 《电子设计工程》 2012年第6期23-25,共3页 Electronic Design Engineering
关键词 HILBERT-HUANG变换 经验模态分解 固有模态函数 曲线拟合 Hilbert-Huang transform empirical mode decomposition intrinsic mode function curve fitting
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