A duality theorem for the discrete sine transform (DST)

Sanjay Jain
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引用次数: 11

Abstract

This paper presents a new property called the Duality Theorem for the Discrete Sine Transform (DST). Discrete Sine Transform is a finite - length discrete transform which is related to the renowned Discrete Fourier Transform (DFT) and is quite popular in signal processing arena, but has remained in the oblivion from pure mathematicians. Many of the properties of the Discrete Sine Transform are akin to those of the Discrete Fourier Transform and Discrete Cosine Transform, subject to minor differences. A formal derivation of the Duality Theorem corresponding to the Discrete Sine Transform is given which was hitherto not mentioned or derived in the literature. The usage of Duality Theorem helps in finding the discrete time - domain function from the DST frequency domain and vice versa thereby reducing considerable labour involved in the evaluation of the summation and hence, saves computation time and cost of implementation to a considerable extent. DST finds applications in Image Processing, Signal Processing applications for Communication Systems, and in the numerical solutions of differential equations as well as partial differential equations of mathematics.
离散正弦变换的对偶定理
本文给出了离散正弦变换(DST)的一个新的性质——对偶定理。离散正弦变换是一种有限长度的离散变换,它与著名的离散傅立叶变换(DFT)有关,在信号处理领域非常流行,但一直被纯数学工作者所遗忘。离散正弦变换的许多性质与离散傅立叶变换和离散余弦变换的性质相似,只有细微的区别。本文给出了离散正弦变换对偶定理的一个形式推导,这是迄今为止文献中没有提到或推导过的。对偶定理的使用有助于从DST频域找到离散的时域函数,反之亦然,从而减少了计算总和所涉及的大量劳动,因此,在相当程度上节省了计算时间和实现成本。DST在图像处理、通信系统的信号处理应用以及数学中微分方程和偏微分方程的数值解中都有应用。
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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