Title :
Global LMS estimate of wavelet coefficients for signal denoising
Author_Institution :
Sch. of Inf. Sci., Shanding Univ., Jinan, China
fDate :
31 Aug.-4 Sept. 2004
Abstract :
Wavelet transform is a powerful tool for signal denoising. Also, some wavelet domain filters were presented, which can be used to obtain an optimal estimate of the wavelet coefficients. In this paper, a global least mean-squared error estimate of the wavelet coefficients is developed, which can yield the least mean-squared error estimate of the original signal. In addition, an optimal threshold for the soft thresholding is introduced.
Keywords :
least mean squares methods; signal denoising; wavelet transforms; global LMS estimate; least mean-squared error estimation; signal denoising; soft thresholding; wavelet coefficient; wavelet domain filter; wavelet transform; Discrete wavelet transforms; Filter bank; Image reconstruction; Information science; Least squares approximation; Signal denoising; Wavelet coefficients; Wavelet domain; Wavelet transforms; Yield estimation;
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
DOI :
10.1109/ICOSP.2004.1452615
