Entropy | |
Entropy-Based Wavelet De-noising Method for Time Series Analysis | |
Yan-Fang Sang2  Dong Wang2  Ji-Chun Wu2  Qing-Ping Zhu1  | |
[1] China Water International Engineering Consulting Co. Ltd., Beijing 100053, China; E-Mail:;State Key Laboratory of Pollution Control and Resource Reuse, Department of Hydrosciences, School of Earth Sciences and Engineering, Nanjing University, Nanjing 210093, China; E-Mails: | |
关键词: time series analysis; de-noising; information entropy; wavelet transform; uncertainty; | |
DOI : 10.3390/e11041123 | |
来源: mdpi | |
【 摘 要 】
The existence of noise has great influence on the real features of observed time series, thus noise reduction in time series data is a necessary and significant task in many practical applications. When using traditional de-noising methods, the results often cannot meet the practical needs due to their inherent shortcomings. In the present paper, first a set of key but difficult wavelet de-noising problems are discussed, and then by applying information entropy theories to the wavelet de-noising process,
【 授权许可】
CC BY
© 2009 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190055153ZK.pdf | 656KB | download |