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Construction of Overcomplete Multiscale Dictionary of Slepian Functions on the Sphere

机译:球面上Slepian函数的超完备多尺度字典的构造

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We construct an overcomplete and multiscale dictionary of bandlimited Slepian functions on the sphere. Slepian functions are the bandlimited eigenfunctions obtained by solving spatial-spectral concentration problem on the sphere. To this end, we develop the hierarchical equal area iso-latitude iso-longitude pixelization (HEALLPix) scheme for hierarchical partitioning of the sphere into equal area sub-regions called pixels and present its quaternary tree structure. We then solve the concentration problem of finding bandlimited functions with maximal energy concentration in the given spatial region for each pixel and use these spatially concentrated bandlimited functions as dictionary elements. We analyze the span of the dictionary elements and their mutual coherence and show that the dictionary spans the space of bandlimited functions which are optimally (energy) concentrated within a pixel on the sphere with most of its elements exhibiting negligibly small mutual coherence. Hence, the proposed dictionary is a significant tool for use in multi-resolution analysis and sparse reconstruction of signals on the sphere.
机译:我们在球体上构造了带限Slepian函数的一个超完备的多尺度字典。 Slepian函数是通过解决球体上的空间光谱集中问题而获得的带限特征函数。为此,我们开发了用于将球体分层划分为等面积子区域(称为像素)的分层等面积等纬度等度像素化(HEALLPix)方案,并提出了其四叉树结构。然后,我们解决了在每个像素的给定空间区域中找到具有最大能量集中的带限函数的集中问题,并将这些空间集中的带限函数用作字典元素。我们分析了字典元素的跨度及其相互相干性,并发现字典跨越了带限函数的空间,这些函数最佳(能量)集中在球体上的一个像素内,其大多数元素的相互相干性可忽略不计。因此,提出的字典是用于多分辨率分析和球体上信号稀疏重建的重要工具。

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