Calculation of two dimensional number transform-an analytical study

N. Ivanov
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Abstract

The fact that the elements of two dimensional (2D) arrays, processed by a computer, are sampled on space and quantities in the range /spl plusmn/2/sup n/, permits its treatment as elements of integer fields Z/sub m/. Within the limits of this field, an orthogonal set of functions could be build. These functions form a basis of general Fourier-Galois transformations. The features of these transformations are very close to the well known transformation of Fourier, observe the theorem of time-frequency duality and permit realization of error free calculation of spectra. In cases when powers of 2 are used as twiddle factors, this transformation is known as the number theoretic transform (NTT). In order to improve the practical use of the generalized Fourier-Galois transform, for digital signal processing, this paper presents a study of a method for calculating the two dimensional NTT.
二维数变换计算的解析研究
由计算机处理的二维(2D)数组的元素在/spl plusmn/2/sup n/范围内的空间和数量上进行采样,这一事实允许将其作为整数字段Z/sub m/的元素处理。在这个域的范围内,可以建立一个正交函数集。这些函数构成了一般傅里叶-伽罗瓦变换的基础。这些变换的特征非常接近傅立叶变换,遵守时频对偶定理,并允许实现谱的无误差计算。在使用2的幂作为中间因子的情况下,这种变换被称为数论变换(NTT)。为了提高广义傅里叶-伽罗瓦变换在数字信号处理中的实际应用,本文研究了二维NTT的计算方法。
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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