多参数实离散分数傅里叶变换和哈特利变换

W. Hsue, Wei-Ching Chang
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引用次数: 9

摘要

本文构造了两个新的多参数实分数阶变换。它们分别是实数离散分数傅里叶变换(RDFRFT)和实数离散分数哈特利变换(RDFRHT)。这两个新变换的特征向量都是随机的,它们都只有两个不同的特征值:1或-1。两个变换的实特征向量都是由随机的dft交换矩阵构造的。我们还提出了基于类对角线矩阵的RDFRHT的另一种定义。所有提出的新变换都要求分数阶变换具有良好的性质。最后,由于所提出的新变换的输出是随机的,因此它们可以应用于图像加密。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiple-parameter real discrete fractional Fourier and Hartley transforms
In this paper, two new real fractional transforms with many parameters are constructed. They are the real discrete fractional Fourier transform (RDFRFT) and the real discrete fractional Hartley transform (RDFRHT). The eigenvectors of these two new transforms are all random, and they both have only two distinct eigenvalues: 1 or -1. Real eigenvectors of both two transforms are constructed from random DFT-commuting matrices. We also propose an alternative definition of RDFRHT based on a diagonal-like matrix. All of the proposed new transforms have required good properties to be fractional transforms. Finally, since outputs of proposed new transforms are random, they can be applied in image encryptions.
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