Jacobi method for dual quaternion Hermitian eigenvalue problems and applications

IF 2.4 3区 数学 Q1 MATHEMATICS
Wenxv Ding, Ying Li, Musheng Wei
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引用次数: 0

Abstract

Eigenvalue decomposition of quaternion Hermitian matrices is a crucial mathematical tool for color image reconstruction and recognition. Quaternion Jacobi method is one of the classical methods to compute the eigenvalues of a quaternion Hermitian matrix. Using quaternion Jacobi rotations, this paper brings forward an innovative method for the eigenvalue decomposition of dual quaternion Hermitian matrices. The effectiveness of the proposed method is confirmed through numerical experiments. Furthermore, a dual complex matrix representation for the color image is developed, and the dual quaternion Jacobi method is applied to the eigenvalue problems of dual complex Hermitian matrices. This approach achieves successful results in the color images reconstruction and recognition. Compared to the quaternion matrix representation of the color image, this approach makes computations more convenient when dealing with problems related to color image processing.

Abstract Image

对偶四元赫米特特征值问题的雅可比方法及其应用
四元赫米矩阵的特征值分解是彩色图像重建和识别的重要数学工具。四元雅可比法是计算四元赫米矩阵特征值的经典方法之一。本文利用四元雅可比旋转,提出了一种创新的对偶四元赫米矩阵特征值分解方法。通过数值实验证实了所提方法的有效性。此外,还开发了彩色图像的双复矩阵表示法,并将双四元雅可比方法应用于双复赫米矩阵的特征值问题。这种方法在彩色图像重建和识别方面取得了成功。与彩色图像的四元数矩阵表示法相比,这种方法在处理与彩色图像处理有关的问题时更便于计算。
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来源期刊
Journal of Applied Mathematics and Computing
Journal of Applied Mathematics and Computing Mathematics-Computational Mathematics
CiteScore
4.20
自引率
4.50%
发文量
131
期刊介绍: JAMC is a broad based journal covering all branches of computational or applied mathematics with special encouragement to researchers in theoretical computer science and mathematical computing. Major areas, such as numerical analysis, discrete optimization, linear and nonlinear programming, theory of computation, control theory, theory of algorithms, computational logic, applied combinatorics, coding theory, cryptograhics, fuzzy theory with applications, differential equations with applications are all included. A large variety of scientific problems also necessarily involve Algebra, Analysis, Geometry, Probability and Statistics and so on. The journal welcomes research papers in all branches of mathematics which have some bearing on the application to scientific problems, including papers in the areas of Actuarial Science, Mathematical Biology, Mathematical Economics and Finance.
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