DocumentCode :
401818
Title :
A translation-invariant wavelet de-noising method based on a new thresholding function
Author :
Zhang, Wei-Qiang ; Song, Guo-Xiang
Author_Institution :
Sch. of Sci., Xidian Univ., Xi´´an, China
Volume :
4
fYear :
2003
fDate :
2-5 Nov. 2003
Firstpage :
2341
Abstract :
A translation-invariant wavelet de-noising method based on a new thresholding function is presented to suppress the pseudo-Gibbs oscillations of wavelet shrinkage de-noising in this paper. The new thresholding function has many advantages, such as simple in expression, having high order derivative. Experimental results show that the method gives better performance in both visual results and quantitative terms.
Keywords :
signal denoising; wavelet transforms; pseudo-Gibbs oscillations; thresholding function; translation-invariant wavelet de-noising method; wavelet shrinkage de-noising; Amplitude estimation; Computer simulation; Cybernetics; Machine learning; Noise reduction; Wavelet analysis; Wavelet coefficients; Wavelet domain; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
Type :
conf
DOI :
10.1109/ICMLC.2003.1259900
Filename :
1259900
Link To Document :
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