Statistical multiresolution analysis in amplitude- frequency domain

查看全文 作　　者：[1]SUNHong;[1]GUANBao;[2]HenriMaitre

机构地区：[1]SchoolofElectronicInformation,WuhanUniversity,LIESMARS,Wuhan430072,China;[2]DepartementdeTSI,EcoleNationnaleSuperieuredesTelecommunication,75013Paris,FranceCorrespondenceshouldbeaddressedtoSunHong

出　　处：《Science in China(Series F)》索引2004年第47卷第4期,共9页

摘　　要：A concept of statistical multiresolution analysis in amplitude-frequency domain is proposed, which is to employ the wavelet transform on the statistical character of a signal in amplitude domain. In terms of the theorem of generalized ergodicity, an algorithm to estimate the transform coefficients based on the amplitude statistical multiresolution analysis (AMA) is presented. The principle of applying the AMA to Synthetic Aperture Radar (SAR) image processing is described, and the good experimental results imply that the AMA is an efficient tool for processing of speckled signals modeled by the multiplicative noise. 关键词：统计信号分析多解分析 SAR图像处理离散振幅信号处理小波变换合成孔径雷达

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Statistical multiresolution analysis in amplitude- frequency domain

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