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dc.contributor.author魏文畅
dc.contributor.author杨俊杰
dc.contributor.author蔡建立
dc.date.accessioned2016-05-17T02:43:04Z
dc.date.available2016-05-17T02:43:04Z
dc.date.issued2009
dc.identifier.citation计算机工程与应用,2009,(4):144-146+172
dc.identifier.issn1002-8331
dc.identifier.otherJSGG200904038
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/105202
dc.description.abstract对近几年来小波域滤波方法的研究现状与新发展进行归纳总结。一方面从算法思想,原理和优缺点等角度对近年来所提出的较有代表性的小波滤波算法进行分析概括;另一方面选择一些典型的滤波算法和一些常用的信号,主要从信噪比(Snr)和均方误差(MSE)两个方面进行实验,并分别就同一种滤波算法,不同的信号以及同一个信号,不同的滤波算法的滤波情况进行对比分析。最后通过结合上述分析给出小波滤波的研究热点、难点、不足和有待解决的一些问题。
dc.description.abstractThis paper summarizes the research and development of the wavelet filtering method in recent years.On the one hand,it summarizes the recent and representative wavelet filtering algorithms from the ideology,principles,advantages,disadvantages,and other aspects of algorithms.On the other hand,some typical filtering algorithms and some common signals are selected to the experimental result mainly from the Signal-to-Noise Ratio(SNR) and the Mean Square Error(MSE).And the effects of different filtering algorithms are compared and analyzed separately from a filter algorithm with different signals and a signal with different filtering algorithms.Finally,the hot,the difficulty,the deficiency and other issues unresolved of wavelet filtering are proposed through the combination of the above analysis.
dc.description.sponsorship国家985工程重点项目No.0000-X07204
dc.language.isozh_CN
dc.subject小波
dc.subject滤波
dc.subject算法
dc.subject信号
dc.subjectBayesian
dc.subjectwavelet
dc.subjectfiltering
dc.subjectalgorithm
dc.subjectsignal
dc.subjectBayesian
dc.title小波域非Bayesian滤波方法研究
dc.title.alternativeResearch on method of non-Bayesian filtering based on wavelet
dc.typeArticle


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