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