Uncertainty Analysis of Decomposition Level Choice in Wavelet Threshold De-Noising

Entropy

Yan-Fang Sang²  Dong Wang¹ 

[1] State Key Laboratory of Pollution Control and Resource Reuse, Department of Hydrosciences, School of Earth Sciences and Engineering, Nanjing University, Nanjing 210093, China;

关键词: time series analysis;    uncertainty analysis;    wavelet;    decomposition level;    noise;    wavelet energy entropy;    complexity;   

DOI  :  10.3390/e12122386

来源: mdpi

【 摘 要 】

In this paper, the complexities of various noises, which are quantified by wavelet energy entropy (WEE) and differential coefficient of WEE (D(WEE)), were first analyzed and their uncertainties then estimated and described using confidence intervals. Then, quantitative criterion for judging the WEE and D(WEE) difference between noisy series and noise was put forward, based on which the decomposition level (DL) choice method in wavelet threshold de-noising proposed in 2010 by Sang et al. was improved. Finally, analytical results from examples verified the performance of the improved method, and also demonstrated its much wider applicability; moreover, the DL chosen using it is more reliable because of the fact that uncertainty is taken into consideration.

【 授权许可】

CC BY   
© 2010 by the authors; licensee MDPI, Basel, Switzerland.