Wavelet-Based Analysis on the Complexity of Hydrologic Series Data under Multi-Temporal Scales

Wavelet-Based Analysis on the Complexity of Hydrologic Series Data under Multi-Temporal Scales

In this paper, the influence of four key issues on wavelet-based analysis of hydrologic series’ complexity under multi-temporal scales, including the choice of mother wavelet, noise, estimation of probability density function and trend of series data, was first studied. Then, the complexities of sev...

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Bibliographic Details
Main Authors: Ling Wang, Qing-Ping Zhu, Ji-Chun Wu, Dong Wang, Yan-Fang Sang
Format: Article
Language:English
Published: MDPI AG 2011-01-01
Series:Entropy
Subjects:
time series analysis
complexity
wavelet
information theory
entropy
multi-temporal scale
noise
probability density function
trend
Online Access:http://www.mdpi.com/1099-4300/13/1/195/

Internet

http://www.mdpi.com/1099-4300/13/1/195/

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