| 基于最优小波包基的信号去噪算法 |
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| 引用本文： | 戎丽霞. 基于最优小波包基的信号去噪算法[J]. 德州学院学报, 2005, 21(2): 72-75 |
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| 作者姓名： | 戎丽霞 |
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| 作者单位： | 德州学院计算机系,山东德州,253023 |
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| 摘 要： | 提出了一种基于最优小波包基的信号去噪算法,该算法以小波包分析为基础,根据最小代价原理搜索信号分解的最优基,然后对高频和低频系数采用不同的阈值算法进行量化,用量化后的系数重构得到去噪后的信号.实验结果表明该算法对于信号去噪是十分有效的.
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| 关 键 词： | 小波包变换 最优基 阈值函数 信号去噪 |
| 文章编号： | 1004-9444(2005)02-0072-04 |
| 修稿时间： | 2004-11-16 |
Signal Denoising Algorithm Based on Best Wavelet Packet Groups |
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| RONG Li-xia. Signal Denoising Algorithm Based on Best Wavelet Packet Groups[J]. Journal of Dezhou University, 2005, 21(2): 72-75 |
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| Authors: | RONG Li-xia |
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| Abstract: | An Algorithm based on best wavelet packet groups is given in this paper, which bases on wavelet packet analysis and looks for best groups of signal analysis for least costs principle. In this paper, the method of dealing coefficient is different for high frequency and lower frequency coefficients, and the denoised signal is got with these coefficients. The results of experiment indicate the algorithm is very effective. |
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| Keywords: | wavelet packet transforming best groups thresholding function signal denoising |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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