DocumentCode :
2154481
Title :
Signal Denoising Using Simplified SURE-Based Linear Expansion of Thresholds in the Wavelet Domain
Author :
Guo, Qiang ; Yu, Songnian ; Leng, Ming ; Liu, Wei
Volume :
3
fYear :
2008
fDate :
27-30 May 2008
Firstpage :
592
Lastpage :
596
Abstract :
The purpose of signal denoising is to reduce the noise level, while preserving the signal features. Various denoising approaches exist, in which wavelet-based pointwise thresholding approaches are extensively adopted in many application fields. For signal denoising based on wavelet thresholding, there are two crucial aspects, namely, the use of a proper thresholding function and the estimate of the noise standard deviation. Both greatly influence the quality of the denoised signal. In this paper, a simple wavelet-based denoising approach is proposed, which uses the modified linear expansion of thresholds based on Stein’ s unbiased risk estimate (SURE) and the noise standard deviation’s estimation depending on the number of vanishing moments of the wavelet transform. Experimental results demonstrate that higher signal-to-noise ratio (SNR) can be obtained by this new approach as compared to other thresholding approaches.
Keywords :
Additive noise; Finance; Noise level; Noise reduction; Signal denoising; Signal processing; Signal to noise ratio; Wavelet coefficients; Wavelet domain; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location :
Sanya, China
Print_ISBN :
978-0-7695-3119-9
Type :
conf
DOI :
10.1109/CISP.2008.538
Filename :
4566552
Link To Document :
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