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基于Hilbert-Huang变换的金融数据周期性分析及应用 被引量:4

Financial data periodicity analysis method and its application based on HHT
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摘要 提出了一种基于Hilbert-Huang变换(Hilbert-Huang Transform,HHT)的信号周期性分析方法,通过分析信号的非线性对主频分布的影响,找到了具有丰富高频含量的近似周期信号的主频与其周期性的近似对应关系。 The signal prodigality analysis method based on Hilbert-Huang Transform (HHT) is put forward, and through the influence of the signal nonlinear on the main frequency distribution, we find out the approximated relationship between the prodigality and the main frequency of the near periodical signal which is rich in high frequencies.
作者 滕飞 董小刚
出处 《长春工业大学学报》 CAS 2008年第3期288-291,共4页 Journal of Changchun University of Technology
基金 国家自然科学基金资助项目(10771020)
关键词 经验模型分解(EMD) HILBERT-HUANG变换 基音周期 周期预测 Experience Model Decomposition (EMD) Hilbert-Huang Transform (HHT) period prediction frndamental period.
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