Title :
Threshold analysis in wavelet-based denoising
Author :
Zhang, L. ; Bao, P. ; Pan, Q.
Author_Institution :
Dept. of Comput., Hong Kong Polytech., Kowloon, China
fDate :
11/22/2001 12:00:00 AM
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;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20010971
