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arXiv 1105.5729math.CVcs.NAmath.NA
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Bergman空间中的多分辨率

Multiresolution in the Bergman space

University of Vienna(维也纳大学);University of Pécs(佩奇大学)

Margit Pap

AI总结:

本文在Bergman空间中构建多分辨率分析,通过一组极点生成多分辨率结构,并研究其密度、插值和采样性质,实现了Bergman空间信号的双曲小波表示。

摘要:

本文在Bergman空间中给出了一个多分辨率构造。有理正交基的成功应用需要传递函数极点的先验知识,这可能是该方法的一个缺点。我们给出了一组极点,并利用它们在$A^2$中生成一个多分辨率。我们研究了这组极点的上密度和下密度,并给出了该集合成为Bergman空间插值或采样序列的充分条件。该构造与离散仿射小波类似,实际上是Blaschke群在Bergman空间上的表示生成的连续语音变换的离散化。所构造的离散化方案使得如果能够测量单位圆盘内给定点集上的值,则可以实现属于Bergman空间的信号的双曲小波表示的实际实现。将研究双曲小波表示的收敛性质。

英文摘要:

In this paper we give a multiresolution construction in Bergman space. The successful application of rational orthogonal bases needs a priori knowledge of the poles of the transfer function that may cause a drawback of the method. We give a set of poles and using them we will generate a multiresolution in $A^2$. We study the upper and lower density of this set, and we give sufficient conditions for this set to be interpolating or sampling sequence for the Bergman space. The construction is an analogy with the discrete affine wavelets, and in fact is the discretization of the continuous voice transform generated by a representation of the Blaschke group over the Bergman space. The constructed discretization scheme gives opportunity of practical realization of hyperbolic wavelet representation of signals belonging to the Bergman space if we can measure their values on a given set of points inside the unit disc. Convergence properties of the hyperbolic wavelet representation will be studied.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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