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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2006, Vol. 7 Issue (3 ): 14-    DOI: 10.1631/jzus.2006.A0361
    
Method and application of wavelet shrinkage denoising based on genetic algorithm
Ma Qi-ming, Wang Xuan-yin, Du Shuan-ping
State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310027, China; State Key Laboratory of Oceanic Acoustics, Hangzhou Applied Acoustics Research Institute, Hangzhou 310012, China
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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.

Key words： Wavelet transform      Translation-invariant wavelet transform      Genetic algorithm (GA)      Correlation function     
Received: 20 September 2005     
CLC:  TN911.4  
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Ma Qi-ming, Wang Xuan-yin, Du Shuan-ping. Method and application of wavelet shrinkage denoising based on genetic algorithm. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2006, 7(3 ): 14-.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2006.A0361     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2006/V7/I3 /14

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