DocumentCode
3114693
Title
Application of EMD and wavelet method to sunspot data
Author
Wang, Yong ; Ding, Yuanyuan ; Luo, Qingzhou ; Miao, Qilong
Author_Institution
Sch. of Remote Sensing, Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
fYear
2011
fDate
26-28 March 2011
Firstpage
676
Lastpage
678
Abstract
The sunspot is one of the main cause of climate change. Research on the sunspot cycle is conducive to study climate change. Based on new approach, using time series analysis technique, empirical mode decomposition (EMD) and wavelet, to reveal the detail features of the variability of sunspot data on various time scales. In comparison with wavelet transform, EMD can analyze non-stationary and non-linear time series data and reveal the main characteristics of time series on time-frequency domains precisely.
Keywords
sunspots; time series; wavelet transforms; climate change; empirical mode decomposition; sunspot cycle; sunspot data; time frequency domains; time series analysis technique; wavelet method; Information science; Meteorology; Oscillators; Time series analysis; Wavelet analysis; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Technology (ICIST), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9440-8
Type
conf
DOI
10.1109/ICIST.2011.5765337
Filename
5765337
Link To Document