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
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;
Conference_Titel :
Information Science and Technology (ICIST), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9440-8
DOI :
10.1109/ICIST.2011.5765337
