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A SURE Based Sub-band Adaptive De-noising Method
Gong TR(宫铁瑞); Yang ZJ(杨志家); Wang GS(王庚善); Jiao P(焦平)
作者部门工业控制网络与系统研究室
会议名称2016 2nd IEEE International Conference on Computer and Communications (ICCC 2016)
会议日期October 14-17, 2016
会议地点Chengdu, China
会议录名称2016 2nd IEEE International Conference on Computer and Communications (ICCC 2016)
出版者IEEE
出版地New York
2016
页码2637-2640
收录类别EI ; CPCI(ISTP)
EI收录号20172303742579
WOS记录号WOS:000411576804061
产权排序1
ISSN号1095-2055
ISBN号978-1-4673-9026-2
关键词Wavelet Denoising Sub-band Adaptive Denoising Stein’s Unbiased Risk Estimate (Sure) Minimization
摘要This paper introduces a different approach to wavelet denoising. Unlike traditional soft or hard thresholding based wavelet domain schemes, we employ an odd-term reserving polynomial function with flexible coefficients as the noisy signal estimator. Meanwhile we adopt Stein’s Unbiased Risk Estimate (SURE) to give an unbiased estimate of the mean-squared error (MSE) between clean and denoised signal. The polynomial function coefficients are determined by minimizing the Stein’s unbiased risk estimate. This SURE based property makes our approach only depend on the noisy signal, not on the clean one. Furthermore, the polynomial function structure makes coefficients solving a linear minimization problem, which is more efficient and easy to solve comparing with gradient based minimization problem. We test the proposed approach on a set of signals and the simulation results show our approach performs better than those soft and hard thresholding based methods (e.g. Sure Shrink, MiniMaxShrink and VisuShrink) in both MSE and signal-to-noise ratio (SNR) sense.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/19506
专题工业控制网络与系统研究室
通讯作者Gong TR(宫铁瑞)
作者单位1.Department of Industrial Control Networks and Systems, Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang, China
2.University of Chinese Academy of Sciences, Beijing, China
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GB/T 7714
Gong TR,Yang ZJ,Wang GS,et al. A SURE Based Sub-band Adaptive De-noising Method[C]. New York:IEEE,2016:2637-2640.
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