Realization of HHT Method to Solar Irradiance Data in MATLAB

Author

Wang, Yong ; Ding, Yuanyuan ; He, Yongjian ; Miao, Qilong

Author_Institution

Sch. of Remote Sensing, Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China

Volume

1

fYear

2010

fDate

19-20 Dec. 2010

Firstpage

245

Lastpage

247

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.

Keywords

Hilbert transforms; geophysics computing; mathematics computing; solar radiation; time series; time-frequency analysis; Hilbert spectral analysis method; Hilbert-Huang transform; MATLAB software; empirical mode decomposition method; frequency calculation; intrinsic mode function components; nonlinear time series data analysis; nonstationary time series data analysis; solar irradiance data; time-frequency domain; MATLAB; Meteorology; Oscillators; Time frequency analysis; Time series analysis; Transforms; MATLAB software; solar irradiance; the Hilbert-Huang transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering (WCSE), 2010 Second World Congress on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-9287-9

Type

conf

DOI

10.1109/WCSE.2010.120

Filename

5718305