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Ramanujan subspaces and digital signal processing

机译:Ramanujan子空间和数字信号处理

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Ramanujan-sums have in the past been used to extract hidden periods. In a recent paper it was shown that for finite duration (FIR) sequences, the traditional representation is not suitable. Two new types of Ramanujan-sum expansions were proposed for the FIR case, each offering an integer basis, and applications in the extraction of hidden periodicities were developed. Crucial to these developments was the introduction of Ramanujan spaces. The aim of this paper is to develop some properties of these subspaces in the context of signal processing. The design of near orthogonal bases for these spaces is emphasized.
机译:过去,Ramanujan-sum用于提取隐藏期间。在最近的一篇论文中,显示了对于有限持续时间(FIR)序列,传统的表示形式是不合适的。针对FIR情况,提出了两种新的Ramanujan-sum展开式,每种展开式都提供了整数基础,并且开发了在隐藏周期提取中的应用。这些发展的关键是引入了拉马努(Ramanujan)空间。本文的目的是在信号处理的背景下开发这些子空间的某些属性。强调了这些空间的近正交基的设计。

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