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汪成咏  渠刚荣 《数学学报》2016,59(4):489-504
对于1r∞与巴拿哈空间B=L~r(Ω,F,μ),我们研究了欧几里得空间R~n上B-值缓分布构成的哈代-洛伦茨空间H~(p,q)(R~n,B)及哈代-洛伦茨空间之间的内插,其中0p∞和0q≤∞,获得了H~(p,q)(R~n,B)的一系列等价的刻画及其原子分解.若Ω={1},则H~(p,q)(R~n,B)=H~(p,q)(R~n)是经典的情形;若Ω=Z是整数集且μ是Z上的计数测度并且r=2,0p∞及q=∞,则H~(p,q)(R~n,B)=H~(p,∞)(R~n,e~2)转化为Grafakos和He在文[Weak Hardy spaces,Preprint,2014]中讨论的情形.  相似文献   
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Many imaging systems can be modeled by the following linear system of equations Ax=b,(1) where the observed data is b=(b~1...b~M)~T∈K~M and the image is x=(x_1…x_N)~T∈K~N.The number field K can be the reals R or the complexes C.The system matrix A=(A_(i,j)) is nonzero and of the dimension M×N matrix.The image reconstruction problem is to reconstruct the  相似文献   
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渠刚荣  王彩芳  姜明 《数学进展》2007,36(3):379-381
Many imaging systems can be modeled by the following linear system of equations Ax = b, (1) where the observed data is b = (b^1…b^M)^T∈K^M and the image is x = (x1…xN)^T∈K^N.  相似文献   
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§1.引言 早在1917年,德国数学家J.Radon研究如何由函数在所有超平面上的积分值确定函数F.John进一步研究了这个问题,他称上述积分为Radon变换,用平面波方法求Radon变换的反演,并将Radon变换应用于偏微分方程。Ludwig在[4]中,一般性地研究了欧氏空间上的Radon变换的各种反演方法以及支集定理等。Radon变换是最近兴起的CT技术的数学基础。它在医学、射电天文学和地球物理方面有一些成功的应  相似文献   
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将Stein[On the functions of Littlewood-Paley,Lusin,and Marcinkiewicz,Trans.Amer.Math.Soc.,1958,88:430-466]中的玛欣凯维奇函数的逆向不等式推广到一般情形.主要结果是对于n-维欧几里得空间k-阶球面调和函数空间的任意一基底,得到玛欣凯维奇函数的一般性的逆向不等式,即存在不依赖于函数f正常数C_p,使得||f||_p≤C_pΣ_(j=1)~N=1||μ_j(f)||_p,其中{μ_j(f)}_(j=1)~N是f的由这些球面调和函数生成的玛欣凯维奇函数.此外,对于任意的n-变元的k-阶调和多项式Q(x)以及泊松核P_t(x),有Q(D)P_t(x)=C_n k(tQ(x))/((|x|)~2+t~2~(n+2k+1)/2).  相似文献   
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The Radon transform is the mathematical foundation of Computerized Tomography[1](CT).Its important applications includes medical CT,noninvasive test and etc.If one is specially interested in the places at which the image function changed largely such as the interfaces of two different tissues,tissue and ill tissue and the interfaces of two difierent matters,and want to reconstruct the outlines of the interfaces,one should reconstruct the singularities of the image function.The exact inversion of the Radon transform is valid only for smooth function[2].The singularity places of the reconstructed function should be studied specially.The research includes the propagation and inversion of singularity of the Radon transform.If one use convolutionbackprojection method to reconstruct the image function,the reconstructed function become blurring at the singularity places of the original function.M.Jiang and etc[3]developed a blind deconvolution method deblurring reconstructed image.By[4]and following research,we see that one can use a neighborhood data of the singularities of the Radon transform to inverse the singularity of the Radon transform,and therefore the reconstruction is available for some incomplete data reconstructions.  相似文献   
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1. IntroductionSince Radon obtained the inverse formula of Radon transform in 1917, different inversemethods such as Fourier inversion, convolution back-projection inversion etc. have beeninvestigated['l']. Wavelet as a useful tool is interested in the inversion of Radon transformin recent years['--']. The application of wavelet analysis to Radon transform was proposedin I4] and [5]. An inversion formula based on continuous wavelet transform was derivedin [6] and [7]. This formula was based…  相似文献   
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The Shannon sampling theorem is one of the foundations for modern signal processing.Assume that a signal f(t)∈L2(R).σ>0 is a constant.Signal f(t) is calledσ-band-limitedif |ω|>σ,F(ω) = f-∞f(t)e-iω≧tdt = 0.The Shannon sampling theorem says that aσ-band-limitedf(t) can be reconstructed exactly by its all sampling points at the equal interval h≤π/σ.The reconstructed formula is  相似文献   
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