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Multidimensional Ramanujan-sum expansions on nonseparable lattices

机译:不可分格上的多维Ramanujan-sum展开

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It is well-known that the Ramanujan-sum c(n) has applications in the analysis of periodicity in sequences. Recently the author developed a new type of Ramanujan-sum representation especially suited for finite duration sequences x(n): This is based on decomposing x(n) into a sum of signals belonging to so-called Ramanujan subspaces S. This offers an efficient way to identify periodic components using integer computations and projections, since c(n) is integer valued. This paper revisits multidimensional signals with periodicity on possibly nonseparable integer lattices. Multidimensional Ramanujan-sum and Ramanujan-subspaces are developed for this case. A Ramanujan-sum based expansion for multidimensional signals is then proposed, which is useful to identify periodic components on nonseparable lattices.
机译:众所周知,Ramanujan-sum c(n)在序列的周期性分析中具有应用。最近,作者开发了一种新型Ramanujan-sum表示形式,特别适合于有限持续时间序列x(n):这是基于将x(n)分解为属于所谓Ramanujan子空间S的信号之和。因为c(n)是整数值,所以使用整数计算和预测来识别周期分量的方法。本文在可能不可分离的整数晶格上以周期性的方式重新审视多维信号。针对这种情况,开发了多维Ramanujan-sum和Ramanujan-子空间。然后提出了一种基于拉曼努扬和求和的多维信号扩展方法,该方法可用于识别不可分离晶格上的周期分量。

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