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小波滤波方法及应用

潘泉 孟晋丽 张磊 程咏梅 张洪才

潘泉, 孟晋丽, 张磊, 程咏梅, 张洪才. 小波滤波方法及应用[J]. 电子与信息学报, 2007, 29(1): 236-242. doi: 10.3724/SP.J.1146.2005.00233
引用本文: 潘泉, 孟晋丽, 张磊, 程咏梅, 张洪才. 小波滤波方法及应用[J]. 电子与信息学报, 2007, 29(1): 236-242. doi: 10.3724/SP.J.1146.2005.00233
Pan Quan, Meng Jin-li, Zhang Lei, Cheng Yong-mei, Zhang Hong-cai. Wavelet Filtering Method and Its Application[J]. Journal of Electronics & Information Technology, 2007, 29(1): 236-242. doi: 10.3724/SP.J.1146.2005.00233
Citation: Pan Quan, Meng Jin-li, Zhang Lei, Cheng Yong-mei, Zhang Hong-cai. Wavelet Filtering Method and Its Application[J]. Journal of Electronics & Information Technology, 2007, 29(1): 236-242. doi: 10.3724/SP.J.1146.2005.00233

小波滤波方法及应用

doi: 10.3724/SP.J.1146.2005.00233
基金项目: 

教育部跨世纪优秀人才培养计划基金教技函(2001)1号和国家自然科学基金(60172037, 60372085)资助项目

Wavelet Filtering Method and Its Application

  • 摘要: 小波滤波是十年来小波分析在信号处理技术中应用的一个重要领域,与传统的滤波方法相比,具有独特的优势。该文在对目前小波滤波文献进行理解和综合的基础上,通过对小波滤波问题的描述,系统论述了小波滤波的基本原理、模型和滤波特性;对小波滤波方法进行了分类,对三类基本方法进行了分析比较;着重对小波滤波方法中的基本问题进行了阐述,并对小波滤波中存在的问题和解决问题的设想及展望给出了系统的见解。
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出版历程
  • 收稿日期:  2005-03-08
  • 修回日期:  2006-06-14
  • 刊出日期:  2007-01-19

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