Solving a system of quaternion matrix equations by using PSVD for multiple matrices with applications

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED
Zhuo-Heng He , Yun-Ze Xu , Qing-Wen Wang , Xiang-Xiang Wang
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引用次数: 0

Abstract

In this paper, some applications of product singular value decomposition (PSVD) for multiple quaternion matrices are considered. A general system of coupled Sylvester-type quaternion matrix equations with n equations and n+1 unknowns is considered by using PSVD for n quaternion matrices, where n is an arbitrary positive integer. Some solvability conditions and general solutions to the system are derived. The general solution to the system is also presented. Some numerical examples are given to illustrate the results of this paper. Moreover, we propose an application to the encryption and decryption of color videos using the system of coupled Sylvester-type quaternion matrix equations. The results demonstrate that the method can encrypt and decrypt video frames effectively, providing high accuracy as validated by metrics such as PSNR, SSIM, and FSIM.
用PSVD求解多矩阵的四元数矩阵方程组及其应用
本文讨论了乘积奇异值分解(PSVD)在多四元数矩阵中的应用。利用n个四元数矩阵的PSVD,考虑了一类具有n个方程和n+1个未知数的耦合sylvester型四元数矩阵方程组,其中n为任意正整数。导出了该系统的若干可解条件和一般解。最后给出了系统的总体解决方案。给出了一些数值算例来说明本文的结果。此外,我们还提出了将耦合sylvester型四元数矩阵方程系统应用于彩色视频的加解密。结果表明,该方法可以有效地对视频帧进行加密和解密,并通过PSNR、SSIM和FSIM等指标验证了该方法的准确性。
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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