| 带有伸缩因子α的多小波阈值去噪 |
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| 引用本文： | 王少英,田学刚.带有伸缩因子α的多小波阈值去噪[J].宝鸡文理学院学报(自然科学版),2008,28(1):10-13. |
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| 作者姓名： | 王少英 田学刚 |
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| 作者单位： | 滨州学院,数学与信息科学系,山东,滨州,256603 |
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| 基金项目： | 滨州学院青年人才创新工程(BZXYQNLG200618) |
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| 摘 要： | 目的针对多小波软、硬阈值去噪法的缺点,提出了带有伸缩因子α的多小波阈值去噪模型。方法采用推理及计算的方法对所提出的模型进行了证明,并通过仿真实验与传统的去噪模型进行了对比。结果提出的模型是合理的,且去噪效果要更好。结论可根据实际需要在改进模型中选取合适的α值,以达到更好的去噪效果。
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| 关 键 词： | 多小波变换 信号去噪 阈值 |
| 文章编号： | 1007-1261(2008)01-0010-04 |
| 修稿时间： | 2007年5月21日 |
Multiwavelet thresholding denoising with contraction factor α |
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| WANG Shao-ying,TIAN Xue-gang.Multiwavelet thresholding denoising with contraction factor α[J].Journal of Baoji College of Arts and Science(Natural Science Edition),2008,28(1):10-13. |
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| Authors: | WANG Shao-ying TIAN Xue-gang |
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| Institution: | (Department of Mathematics and Information Science, Binzhou University, Binzhou 256603, Shandong, China) |
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| Abstract: | Aim Multiwavelet denoising models traditional ones have some shortcomings. Methods with contraction factor a are presented due to the The models are proved by illation and computation, and the denoising results are compared with experiments. Results The improved models are reasonable and have better denoising than the traditional ones. Conclusion According to the practical need, a proper a in the improved models can he＇chosen to get better denoising results. |
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| Keywords: | multiwavelet transform signal denoising threshold |
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