基于矩阵的分数阶Hankel变换的贝塞尔级数展开式评价

IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED
Magdy Tawfik Hanna
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引用次数: 0

摘要

分数阶汉克尔变换(FRHT)应用中的主要问题是在试图对其定义中出现的积分进行解析计算时遇到的困难。利用空间受限信号的截断傅立叶-贝塞尔级数展开,提出了一种基于矩阵的数值计算方法。实现该方法的算法只涉及矩阵计算,从而避免了数值积分及其相关的不稳定性和不准确性问题。推导了广义高斯信号分数阶汉克尔变换的表达式,通过将数值计算的分数阶汉克尔变换与推导的FRHT表达式的样本进行比较,可以评估所贡献的数值技术。仿真结果表明,该方法具有较高的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Matrix-based evaluation of the fractional Hankel transform by bessel series expansion
The main problem in the fractional Hankel transform (FRHT) application is the difficulty encountered in any attempt toward the analytical evaluation of the integral appearing in its definition. A matrix-based numerical evaluation technique is contributed and obtained using a truncated Fourier-Bessel series expansion of a space-limited signal. The algorithm for implementing the contributed method involves only matrix computation, thus avoiding numerical integration with its associated problems of instability and inaccuracy. An expression is derived for the fractional Hankel transform of a generalized Gaussian signal, making it possible to assess the contributed numerical technique by comparing the numerically evaluated fractional transform with samples of the derived expression of the FRHT. The simulation results demonstrate the high accuracy of the contributed numerical evaluation method.
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来源期刊
CiteScore
7.90
自引率
10.00%
发文量
755
审稿时长
36 days
期刊介绍: Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results. In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.
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