| EMAT回波信号提升小波降噪最佳分解层数研究 |
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| 引用本文： | 陈鹏,蔡强富,韩德来.EMAT回波信号提升小波降噪最佳分解层数研究[J].国外电子测量技术,2012,31(5):16-19. |
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| 作者姓名： | 陈鹏 蔡强富 韩德来 |
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| 作者单位： | 军械工程学院电气工程系 石家庄050003 |
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| 摘 要： | 分析了分解层数不同时重构信号间的最小均方误差变化趋势并根据分析结果结合高频系数白化检验自适应确定了最佳的分解层数。讨论了提升小波变换的提升算法以及新的阈值函数,使用了基于提升小波变换的改进阈值函数的方法和选取了一种最优的阈值方法并结合最佳分解层数对电磁超声回波信号进行了去噪处理,验证了算法的有效性。
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| 关 键 词： | 电磁超声 提升小波变换 阈值消噪 白化检验 小波分解层数 |
Research of optimal decomposition level in denoising the EMAT echo signal based on lifting wavelet |
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| Chen Peng
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Cai Qiangfu
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Han Delai.Research of optimal decomposition level in denoising the EMAT echo signal based on lifting wavelet[J].Foreign Electronic Measurement Technology,2012,31(5):16-19. |
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| Authors: | Chen Peng Cai Qiangfu Han Delai |
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| Affiliation: | Chen Peng Cai Qiangfu Han Delai(Department of Electric Engineering,Ordnance Engineering College,Shijiazhuang 050003,China) |
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| Abstract: | When the decomposition is different,This article analyzes the reconstruction of signals in the minimum mean square error change tendency and uses the results of the analysis combined with coefficient of high frequency verificationof white noise adaptive confirmed the optimal decomposition level.the article discusses the lifting arithmetic of lifting wavelet transformation and the new threshold function.Then,it uses a new threshold function based on the lifting wavelet transformation and choose a optimization threshold measure and combination of optimal decomposition level in electromagnetism ultrasonic echo signals for signal de-noising.verify the validity of the algorithm. |
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| Keywords: | electromagnetism ultrasonic lifting wavelet transformation threshold de-noising verification of white noise wavelet decomposition level |
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