Entropy-Based Method of Choosing the Decomposition Level in Wavelet Threshold De-noising

In this paper, the energy distributions of various noises following normal, log-normal and Pearson-III distributions are first described quantitatively using the wavelet energy entropy (WEE), and the results are compared and discussed. Then, on the basis of these analytic results, a method for use i...

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Main Authors: Yan-Fang Sang, Dong Wang, Ji-Chun Wu
Format: Article
Language:English
Published: MDPI AG 2010-06-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/12/6/1499/
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author Yan-Fang Sang
Dong Wang
Ji-Chun Wu
author_facet Yan-Fang Sang
Dong Wang
Ji-Chun Wu
author_sort Yan-Fang Sang
collection DOAJ
description In this paper, the energy distributions of various noises following normal, log-normal and Pearson-III distributions are first described quantitatively using the wavelet energy entropy (WEE), and the results are compared and discussed. Then, on the basis of these analytic results, a method for use in choosing the decomposition level (DL) in wavelet threshold de-noising (WTD) is put forward. Finally, the performance of the proposed method is verified by analysis of both synthetic and observed series. Analytic results indicate that the proposed method is easy to operate and suitable for various signals. Moreover, contrary to traditional white noise testing which depends on “autocorrelations”, the proposed method uses energy distributions to distinguish real signals and noise in noisy series, therefore the chosen DL is reliable, and the WTD results of time series can be improved.
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spelling doaj.art-407e8b246c034ea9a69b968fced77a532022-12-22T04:22:29ZengMDPI AGEntropy1099-43002010-06-011261499151310.3390/e12061499Entropy-Based Method of Choosing the Decomposition Level in Wavelet Threshold De-noisingYan-Fang SangDong WangJi-Chun WuIn this paper, the energy distributions of various noises following normal, log-normal and Pearson-III distributions are first described quantitatively using the wavelet energy entropy (WEE), and the results are compared and discussed. Then, on the basis of these analytic results, a method for use in choosing the decomposition level (DL) in wavelet threshold de-noising (WTD) is put forward. Finally, the performance of the proposed method is verified by analysis of both synthetic and observed series. Analytic results indicate that the proposed method is easy to operate and suitable for various signals. Moreover, contrary to traditional white noise testing which depends on “autocorrelations”, the proposed method uses energy distributions to distinguish real signals and noise in noisy series, therefore the chosen DL is reliable, and the WTD results of time series can be improved.http://www.mdpi.com/1099-4300/12/6/1499/time series analysisnoisewavelet transformdecomposition levelthresholdwavelet energy entropyprobability distribution
spellingShingle Yan-Fang Sang
Dong Wang
Ji-Chun Wu
Entropy-Based Method of Choosing the Decomposition Level in Wavelet Threshold De-noising
Entropy
time series analysis
noise
wavelet transform
decomposition level
threshold
wavelet energy entropy
probability distribution
title Entropy-Based Method of Choosing the Decomposition Level in Wavelet Threshold De-noising
title_full Entropy-Based Method of Choosing the Decomposition Level in Wavelet Threshold De-noising
title_fullStr Entropy-Based Method of Choosing the Decomposition Level in Wavelet Threshold De-noising
title_full_unstemmed Entropy-Based Method of Choosing the Decomposition Level in Wavelet Threshold De-noising
title_short Entropy-Based Method of Choosing the Decomposition Level in Wavelet Threshold De-noising
title_sort entropy based method of choosing the decomposition level in wavelet threshold de noising
topic time series analysis
noise
wavelet transform
decomposition level
threshold
wavelet energy entropy
probability distribution
url http://www.mdpi.com/1099-4300/12/6/1499/
work_keys_str_mv AT yanfangsang entropybasedmethodofchoosingthedecompositionlevelinwaveletthresholddenoising
AT dongwang entropybasedmethodofchoosingthedecompositionlevelinwaveletthresholddenoising
AT jichunwu entropybasedmethodofchoosingthedecompositionlevelinwaveletthresholddenoising