DocumentCode :
441760
Title :
Denoising realization based on wavelet transform modulus maximum
Author :
Dong, Ze ; Xie, Hua ; Han, Pu ; Wang, Ning-Ling ; Jia, Zeng-Zhou
Author_Institution :
Dept. of Autom., North China Electr. Power Univ., Baoding, China
Volume :
3
fYear :
2005
fDate :
18-21 Aug. 2005
Firstpage :
1472
Abstract :
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.
Keywords :
signal denoising; wavelet transforms; Mallat alternative projection algorithm; adhoc algorithm; denoising algorithm; inverse wavelet transform; noise suppression; wavelet coefficient; wavelet transform modulus maximum; Automation; Band pass filters; Continuous wavelet transforms; Convolution; Noise reduction; Projection algorithms; Signal processing; Wavelet analysis; Wavelet coefficients; Wavelet transforms; alternative; modulus maximum; projection algorithm; wavelet field; wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
Type :
conf
DOI :
10.1109/ICMLC.2005.1527176
Filename :
1527176
Link To Document :
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