Realization of HHT Method to Solar Irradiance Data in MATLAB

Yong Wang, Yuanyuan Ding, Yongjian He, Qilong Miao
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引用次数: 2

Abstract

The Hilbert-Huang transform (HHT) is a new method of analyzing non-stationary and non-linear time series data. Based on realization of HHT method in MATLAB software, we find that analytical capacity of HHT to time series in time-frequency domains stands out. The results show that (1) Solar irradiance is completely decomposed into four intrinsic mode function (IMF) components and an increasing trend by empirical mode decomposition (EMD) method, (2) it is dominated by raising-up trend for 1800-2000, (3) the Hilbert spectral analysis (HAS) method is very effective on calculation of frequencies.
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太阳辐照度数据HHT方法在MATLAB中的实现
Hilbert-Huang变换(HHT)是一种分析非平稳非线性时间序列数据的新方法。通过在MATLAB软件中对HHT方法的实现,我们发现HHT方法在时频域对时间序列的分析能力非常突出。结果表明:(1)经验模态分解(EMD)方法将太阳辐照度完全分解为四个本征模态函数(IMF)分量,并呈增加趋势;(2)1800 ~ 2000年以上升趋势为主;(3)希尔伯特谱分析(HAS)方法对频率计算非常有效。
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