Srinivasa Ramanujan and signal-processing problems

P. Vaidyanathan, S. Tenneti
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引用次数: 10

Abstract

The Ramanujan sum cq(n) has been used by mathematicians to derive many important infinite series expansions for arithmetic-functions in number theory. Interestingly, this sum has many properties which are attractive from the point of view of digital signal processing. One of these is that cq(n) is periodic with period q, and another is that it is always integer-valued in spite of the presence of complex roots of unity in the definition. Engineers and physicists have in the past used the Ramanujan-sum to extract periodicity information from signals. In recent years, this idea has been developed further by introducing the concept of Ramanujan-subspaces. Based on this, Ramanujan dictionaries and filter banks have been developed, which are very useful to identify integer-valued periods in possibly complex-valued signals. This paper gives an overview of these developments from the view point of signal processing. This article is part of a discussion meeting issue ‘Srinivasa Ramanujan: in celebration of the centenary of his election as FRS’.
Srinivasa Ramanujan和信号处理问题
拉马努金和cq(n)被数学家用来推导数论中许多重要的算术函数的无穷级数展开式。有趣的是,从数字信号处理的角度来看,这个和有许多吸引人的性质。其中之一是cq(n)是周期为q的周期,另一个是尽管在定义中存在单位的复根,但它始终是整数值。工程师和物理学家过去曾使用拉马努金和从信号中提取周期性信息。近年来,通过引入ramanujan -子空间的概念,这一思想得到了进一步的发展。在此基础上,拉马努金字典和滤波器组被开发出来,它们对于在可能的复值信号中识别整数值周期非常有用。本文从信号处理的角度对这些发展进行了综述。这篇文章是“Srinivasa Ramanujan:庆祝他当选财政部长一百周年”讨论会议的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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