| 引用本文: | 涂国勇,杨乐平,崔吉俊.基于小波的信噪分离方法.[J].国防科技大学学报,1999,21(4):40-43.[点击复制] |
| Tu Guoyong,Yang Leping,Cui Jijun.Study on an Approach of Signal Noise Separation Based Wavelet[J].Journal of National University of Defense Technology,1999,21(4):40-43[点击复制] |
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| 基于小波的信噪分离方法 |
| 涂国勇, 杨乐平, 崔吉俊 |
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(国防科技大学 航天技术系 湖南 长沙 410073)
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| 摘要: |
| 本文在Donoho 提出的从噪声中恢复信号的非线性小波方法的基本原理的基础上, 并针对非线性小波方法的核心问题——浮动阈值的设定提出了新的算法。通过算例证明, 所设计的浮动阈值在实际应用中效果较好, 特别在低信噪比时信号恢复效果明显优于现常用的浮动阈值设计方法。 |
| 关键词: 非线性小波方法, 噪声去除, 浮动阈值计算 |
| DOI： |
| 投稿日期：1998-09-07 |
| 基金项目: |
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| Study on an Approach of Signal Noise Separation Based Wavelet |
| Tu Guoyong, Yang Leping, Cui Jijun |
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(Department of Aerospace Technology, NUDT, Changsha, 410073)
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| Abstract: |
| In this paper nonlinear wavelet approach to the recovery of signal from noisy data proposed by D.L.Donoho is described. and a new improved algorithm is provided aiming at the key problem of the approach, threshold design. The practical computing examples show that this new algorithm is very efficient, especially when signal noise ratio is lower, This algorithm is evidently better than that often used now. |
| Keywords: nonlinear wavelet approach, noise suppression, threshold design |
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