| 基于最优小波包基的信号去噪方法研究 |
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| 引用本文： | 冯宏亮.基于最优小波包基的信号去噪方法研究[J].西安文理学院学报,2009,12(2):60-63. |
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| 作者姓名： | 冯宏亮 |
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| 作者单位： | 西安科技大学,理学院,陕西,西安,710054
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| 摘 要： | 改进了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．
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| 关 键 词： | 小波包变换 最优小波包基 阈值 信号去噪 |
Signal Denoising Algorithm Based on Best Wavelet Packet |
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| FENG Hong-liang.Signal Denoising Algorithm Based on Best Wavelet Packet[J].Journal of Xi‘an University of Arts & Science:Natural Science Edition,2009,12(2):60-63. |
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| Authors: | FENG Hong-liang |
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| Institution: | FENG Hong-liang ( College of Science, Xi＇ an University of Science and Technology, Xi＇ an 710054, China) |
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| Abstract: | In this paper, a new signal denoising algorithm based on best wavelet packet is mended, Based on best wavelet packet analysis, the algorithm searches for the best wavelet packet basis of Signal decomposition according to the principle of minimum cost, then adopts different methods to deal with coefficient for high frequency and lower frequency coefficients. Finally, the coefficients are reconstructed to get the denoised signals. |
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| Keywords: | wavelet packet transform best wavelet packet group threshold signal denoising |
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