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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:Ramanujan-Sum在过去的用途是用于提取隐藏的时期。在最近的一篇论文中,显示用于有限持续时间(FIR)序列,传统的表示不合适。提出了两种新型的ramanujan-Sum扩展,用于冷杉的情况,每个提供整数的基础,并开发了提取隐藏周期的应用。对这些发展至关重要的是引入ramanujan空间。本文的目的是在信号处理的上下文中开发这些子空间的一些属性。强调了这些空间的近正交基座的设计。

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