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多分量到单分量可用EMD分解的条件及判据 被引量:26

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摘要 基于数据时域局部特征的EMD分解算法可把复杂的数据分解成有限、少量几个内蕴模式函数分量,是一种数据驱动的自适应时频分析方法.文中将Huang的EMD分解定性为从多分量信号到单分量信号的分解算法,并给出了多分量到单分量可用EMD分解的条件,而且通过建立二级极值点结构,给出了从多分量到单分量用EMD分解的极值点判断准则.通过大量实验,验证了可分解条件及判据的合理性.
出处 《自然科学进展》 北大核心 2006年第10期1356-1360,共5页
基金 国家自然科学基金(批准号:60473141) 浙江省自然科学基金(批准号:Y104341)资助项目
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参考文献9

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二级参考文献5

  • 1Huang N E, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc Roy Soc Lond, Series A, 1998, 454:899.
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共引文献73

同被引文献277

引证文献26

二级引证文献306

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