Denoising realization based on wavelet transform modulus maximum

被引:0
作者
Dong, Z [1 ]
Xie, H [1 ]
Han, P [1 ]
Wang, NL [1 ]
Jia, ZZ [1 ]
机构
[1] N China Elect Power Univ, Dept Automat, Baoding 071003, Peoples R China
来源
Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9 | 2005年
关键词
wavelet transform; modulus maximum; alternative; projection algorithm; wavelet field;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Based on different properties of signals and noise with wavelet transform, the wavelet transform modulus maximum is introduced to eliminate the noise. It includes Mallat alternative projection algorithm and denoising algorithm based on modulus maximum in wavelet field. The first method is introduced to remove the modulus maximum that decreases with increasing scale and reserve those to the contrary, and then, the remainder are reconstructed to the original signal so as to denoise. The wavelet field modulus maximum is realized by obtaining modulus maximum according to Adhoc algorithm and compute its definition to get the wavelet coefficients; Finally, the singularity is reconstructed through inverse wavelet transform. Experiment result shows that two methods suppress the noise effectively.
引用
收藏
页码:1472 / 1476
页数:5
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