{"title":"基于矩阵的分数阶Hankel变换的贝塞尔级数展开式评价","authors":"Magdy Tawfik Hanna","doi":"10.1016/j.amc.2025.129671","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":55496,"journal":{"name":"Applied Mathematics and Computation","volume":"509 ","pages":"Article 129671"},"PeriodicalIF":3.4000,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Matrix-based evaluation of the fractional Hankel transform by bessel series expansion\",\"authors\":\"Magdy Tawfik Hanna\",\"doi\":\"10.1016/j.amc.2025.129671\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":55496,\"journal\":{\"name\":\"Applied Mathematics and Computation\",\"volume\":\"509 \",\"pages\":\"Article 129671\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-08-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Mathematics and Computation\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0096300325003972\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Mathematics and Computation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0096300325003972","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
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.
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.