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CLC number: TN911.4
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
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Method and application of wavelet shrinkage denoising based on genetic algorithm
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Ma Qi-ming, Wang Xuan-yin, Du Shuan-ping. Method and application of wavelet shrinkage denoising based on genetic algorithm[J]. Journal of Zhejiang University Science A, 2006, 7(3): 361-367.
@article{title="Method and application of wavelet shrinkage denoising based on genetic algorithm",
author="Ma Qi-ming, Wang Xuan-yin, Du Shuan-ping",
journal="Journal of Zhejiang University Science A",
volume="7",
number="3",
pages="361-367",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A0361"
}
%0 Journal Article
%T Method and application of wavelet shrinkage denoising based on genetic algorithm
%A Ma Qi-ming
%A Wang Xuan-yin
%A Du Shuan-ping
%J Journal of Zhejiang University SCIENCE A
%V 7
%N 3
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A0361
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T1 - Method and application of wavelet shrinkage denoising based on genetic algorithm
A1 - Ma Qi-ming
A1 - Wang Xuan-yin
A1 - Du Shuan-ping
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 3
SP - 361
EP - 367
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2006.A0361
Abstract: genetic algorithm (GA) based on wavelet transform threshold shrinkage (WTS) and translation-invariant threshold shrinkage (TIS) is introduced into the method of noise reduction, where parameters used in WTS and TIS, such as wavelet function, decomposition levels, hard or soft threshold and threshold can be selected automatically. This paper ends by comparing two noise reduction methods on the basis of their denoising performances, computation time, etc. The effectiveness of these methods introduced in this paper is validated by the results of analysis of the simulated and real signals.
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