DocumentCode
1553021
Title
Threshold analysis in wavelet-based denoising
Author
Zhang, L. ; Bao, P. ; Pan, Q.
Author_Institution
Dept. of Comput., Hong Kong Polytech., Kowloon, China
Volume
37
Issue
24
fYear
2001
fDate
11/22/2001 12:00:00 AM
Firstpage
1485
Lastpage
1486
Abstract
The hard threshold t = cσ is efficient in wavelet threshold-based nonlinear filtering. In general, the optimal constant c would vary with the signal and the added noise. The nearly optimal choice of c by minimising F(c), which is an equivalent function to the mean square error (MSE) of the recovered signal, is discussed. Experiment shows that F(c) is consistent with the MSE
Keywords
filtering theory; mean square error methods; nonlinear filters; signal restoration; wavelet transforms; hard threshold; mean square error; nonlinear filtering; optimal constant; signal denoising; threshold analysis; wavelet transform;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20010971
Filename
970410
Link To Document