A SURE Based Sub-band Adaptive De-noising Method
文献类型：会议论文
| 作者 | Gong TR(宫铁瑞) ; Yang ZJ(杨志家); Wang GS(王庚善); Jiao P(焦平)
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| 出版日期 | 2016 |
| 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 |
| 关键词 | Wavelet denoising sub-band adaptive denoising Stein’s unbiased risk estimate (SURE) minimization |
| 页码 | 2637-2640 |
| 通讯作者 | 宫铁瑞 |
| 中文摘要 | 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. |
| 产权排序 | 1 |
| 会议录 | 2016 2nd IEEE International Conference on Computer and Communications (ICCC 2016)
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| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| 源URL | [http://ir.sia.cn/handle/173321/19506]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 推荐引用方式 GB/T 7714 | Gong TR,Yang ZJ,Wang GS,et al. A SURE Based Sub-band Adaptive De-noising Method[C]. 见:2016 2nd IEEE International Conference on Computer and Communications (ICCC 2016). Chengdu, China. October 14-17, 2016. |
入库方式： OAI收割
来源：沈阳自动化研究所
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