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小波滤波方法及应用 被引量:119

Wavelet Filtering Method and Its Application
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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。 Wavelet filtering is a new research in the field of signal processing in the last decade. It has predominance over the traditional filtering methods. This paper presents the principle, model and characteristics of wavelet denoising method, basing on the analysis and synthesis of developments in this research domain in the past few years. Wavelet denoising methods are sorted into three groups and they are commented. This paper pays attention to the key points, existing problems and the thought of how to solve these problems.
出处 《电子与信息学报》 EI CSCD 北大核心 2007年第1期236-242,共7页 Journal of Electronics & Information Technology
基金 教育部"跨世纪优秀人才培养计划"基金教技函(2001)1号 国家自然科学基金(60172037 60372085)资助项目
关键词 滤波 阈值 模型 小波 Filtering Threshold Model Wavelet
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参考文献74

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二级参考文献10

  • 1潘泉 张磊 等.子波域自适应滤波算法[J].航空学报,1997,9:583-586.
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  • 9潘泉,戴冠中,张洪才,张磊.基于阈值决策的子波域去噪方法[J].电子学报,1998,26(1):115-117. 被引量:59
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