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Analogous multifractal cross-correlation analysis for two time signals

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成果类型:
期刊论文
作者:
Wang, Fang;Liao, Guiping;Li, Jianhui
通讯作者:
Liao, G.(lgpxf@yahoo.com.cn)
作者机构:
[Wang, Fang] Science College, Hunan Agricultural University, Changsha 410128, China
[Wang, Fang; Li, Jianhui; Liao, Guiping] Agricultural Information Institute, Hunan Agricultural University, Changsha 410128, China
通讯机构:
Agricultural Information Institute, Hunan Agricultural University, China
语种:
英文
关键词:
Analogous multifractal cross-correlation analysis;Analogous mutifractal analysis;Autocorrelation;Cross-correlation
期刊:
Journal of Computational Information Systems
ISSN:
1553-9105
年:
2013
卷:
9
期:
1
页码:
153-160
机构署名:
本校为第一且通讯机构
院系归属:
理学院
信息科学技术学院
摘要:
A novel method which called analogous mutifractal cross-correlation analysis(AMF-XA) is proposed here based on analogous multifractal analysis(AMFA), to study the multifractal behaviors in the power-law cross-correlations between two signals. The method is validated by two examples of two artificial time signals. Finally, we apply the method to investigate the cross-correlation between two power series in California 2000 power market, it shows...

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