[1]GUO Xiao-xia,YANG Hui-zhong.An improved compromise for soft/hard thresholds in wavelet denoising[J].CAAI Transactions on Intelligent Systems,2008,3(3):222-225.
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
3
Number of periods:
2008 3
Page number:
222-225
Column:
学术论文—人工智能基础
Public date:
2008-06-25
- Title:
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An improved compromise for soft/hard thresholds in wavelet denoising
- Author(s):
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GUO Xiao-xia; YANG Hui-zhong
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School of Communication & Control Engineering; Jiangnan University; Wuxi 214122; China
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- Keywords:
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wavelet transform; threshold denoising; threshold function; MSE
- CLC:
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TN911
- DOI:
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- Abstract:
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The characteristics of two traditional wavelet comp romise methods, referred to as the soft2thresholding method and the hard2thresholding method, were analyzed in the wavelet domain. A new comp romise thresholding method that imp roves performance is p resented, based on the standard comp romise thresholdmethod, yetmore flex2 ible and easier to treatmathematically. Compared with traditionalwavelet comp romise methods, the new app roach avoids the discontinuity of the hard2threshold method and also decreases the fixed bias between the estimated wave2 let coefficients and the decomposed wavelet coefficients of the soft2threshold method. Simulation results show that the imp roved method is better at denoising than the soft2threshold method, the hard2threshold method, the standard comp romised threshold method, aswell as other threshold function methods.