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Aliasing and oblique dual pair designs for consistent sampling

机译:混叠和斜双对设计,可实现一致的采样

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摘要

In this paper we study some aspects of oblique duality between finite sequences of vectors FF and GG lying in finite dimensional subspaces WW and VV, respectively. We compute the possible eigenvalue lists of the frame operators of oblique duals to FF lying in VV. We compute the spectral and geometrical structure of minimizers of convex potentials among oblique duals for FF with norm restrictions; as an application, we show that these optimal duals are the closest to being tight frames and therefore have their spectrum as concentrated as possible, among oblique duals with norm restrictions. We obtain a complete quantitative analysis of the impact that the relative geometry between the subspaces VV and WW has in oblique duality. We apply this analysis to compute those rigid rotations U for WW such that the canonical oblique dual of U⋅FU⋅F minimize every convex potential; we also introduce a notion of aliasing for oblique dual pairs and compute those rigid rotations U for WW such that the canonical oblique dual pair associated to U⋅FU⋅F minimize the aliasing. We point out that these two last problems are intrinsic to oblique duality, within the context of consistent sampling.
机译:在本文中,我们研究了分别位于有限维子空间WW和VV中的向量FF和GG的有限序列之间的斜对偶性的某些方面。我们计算了位于VV的FF对角对偶的帧算子的可能特征值列表。我们计算了具有范数约束的FF斜对偶中凸势极小子的谱和几何结构。作为一种应用,我们证明了这些最佳对偶最接近紧框架,因此在具有范数限制的倾斜对偶中它们的频谱尽可能集中。我们获得了对子空间VV和WW之间的相对几何形状对斜对偶性影响的完整定量分析。我们应用该分析来计算WW的刚性旋转U,以使U⋅FU⋅F的正则斜对偶最小化每个凸电势。我们还引入了斜双对的混叠的概念,并计算了WW的刚性旋转U,以便与U⋅FU·F相关联的规范斜双对最小化混叠。我们指出,在一致采样的情况下,这最后两个问题是斜对偶性的固有问题。

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