Explicit Formulas for Calculating Fourier Coefficients of Three Variables Using Tomograms

O. M. Lytvyn, O. Lytvyn, O. Lytvyn
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引用次数: 1

Abstract

The great role of Fourier coefficients in the digital processing of multidimensional signals is known. The classic cubic formulas for the calculation of Fourier coefficients use the values of an approximate function at individual points. Due to the advent of computerized tomograph, new information operators have emerged that do not directly use the function value at individual points in the integration area. These are projections-integrals from an approximate function along a given system of straight lines, tomograms–images of traces of an approximate function of three variables on given planes, etc. The classic Fourier coefficients calculation using projections is based on the formulas used for direct and inverse Radon conversion. For the 2D case, such studies were performed in classical computed tomography circuits, including the direct Fourier method Another approach to calculate 2D Fourier coefficients without using a direct and inverse Radon transform was proposed in 2000 by Oleg M. Lytvyn. This paper deals with the generalization of this method in the 3D case. It is a continuation of the research begun by the authors in 2019. This paper proposes explicit formulas for the limits of integration for the re-integrals arising in the proposed method. Thus, this paper is devoted to the further development of a new scientific direction in the theory of approximate Fourier coefficients of the function of three variables using new information operators.
利用层析图计算三个变量傅里叶系数的显式公式
傅里叶系数在多维信号的数字处理中的重要作用是众所周知的。计算傅里叶系数的经典三次公式使用单个点上的近似函数值。由于计算机层析成像的出现,出现了新的信息算子,它们不直接使用集成区域中单个点的功能值。这些是投影——沿着给定直线系统的近似函数的积分,层析图——给定平面上三个变量的近似函数的轨迹图像,等等。使用投影的经典傅立叶系数计算是基于用于直接和逆氡转换的公式。对于二维情况,这类研究是在经典的计算机断层扫描电路中进行的,包括直接傅里叶方法。2000年,Oleg M. Lytvyn提出了另一种不使用直接和反Radon变换计算二维傅里叶系数的方法。本文讨论了该方法在三维情况下的推广。这是作者在2019年开始的研究的延续。本文给出了该方法中出现的重积分的积分极限的显式公式。因此,本文致力于用新的信息算子进一步发展三元函数的近似傅立叶系数理论的一个新的科学方向。
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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