{"title":"高效计算离散分式哈达玛变换","authors":"Zi-Chen Fan;Di Li;Susanto Rahardja","doi":"10.1109/TCSI.2024.3441834","DOIUrl":null,"url":null,"abstract":"This paper introduces a new fast algorithm for the discrete fractional Hadamard transform (FHT). The proposed algorithm demonstrates superior computational efficiency. For data lengths ranging from \n<inline-formula> <tex-math>$2 \\leq N \\leq 1024$ </tex-math></inline-formula>\n, our algorithm achieves a reduction in the number of multiplications by up to 96.53%, 81.82%, 33.33%, and 90% compared to four existing fast algorithms for the FHT. Additionally, we compare the execution times with those of existing fast algorithms, and the results show that the proposed algorithm has better performance. The reduced computational complexity makes the proposed algorithm a potential candidate for calculating the FHT.","PeriodicalId":13039,"journal":{"name":"IEEE Transactions on Circuits and Systems I: Regular Papers","volume":null,"pages":null},"PeriodicalIF":5.2000,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficient Computation for Discrete Fractional Hadamard Transform\",\"authors\":\"Zi-Chen Fan;Di Li;Susanto Rahardja\",\"doi\":\"10.1109/TCSI.2024.3441834\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces a new fast algorithm for the discrete fractional Hadamard transform (FHT). The proposed algorithm demonstrates superior computational efficiency. For data lengths ranging from \\n<inline-formula> <tex-math>$2 \\\\leq N \\\\leq 1024$ </tex-math></inline-formula>\\n, our algorithm achieves a reduction in the number of multiplications by up to 96.53%, 81.82%, 33.33%, and 90% compared to four existing fast algorithms for the FHT. Additionally, we compare the execution times with those of existing fast algorithms, and the results show that the proposed algorithm has better performance. The reduced computational complexity makes the proposed algorithm a potential candidate for calculating the FHT.\",\"PeriodicalId\":13039,\"journal\":{\"name\":\"IEEE Transactions on Circuits and Systems I: Regular Papers\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.2000,\"publicationDate\":\"2024-08-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Circuits and Systems I: Regular Papers\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10637350/\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Circuits and Systems I: Regular Papers","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10637350/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Efficient Computation for Discrete Fractional Hadamard Transform
This paper introduces a new fast algorithm for the discrete fractional Hadamard transform (FHT). The proposed algorithm demonstrates superior computational efficiency. For data lengths ranging from
$2 \leq N \leq 1024$
, our algorithm achieves a reduction in the number of multiplications by up to 96.53%, 81.82%, 33.33%, and 90% compared to four existing fast algorithms for the FHT. Additionally, we compare the execution times with those of existing fast algorithms, and the results show that the proposed algorithm has better performance. The reduced computational complexity makes the proposed algorithm a potential candidate for calculating the FHT.
期刊介绍:
TCAS I publishes regular papers in the field specified by the theory, analysis, design, and practical implementations of circuits, and the application of circuit techniques to systems and to signal processing. Included is the whole spectrum from basic scientific theory to industrial applications. The field of interest covered includes: - Circuits: Analog, Digital and Mixed Signal Circuits and Systems - Nonlinear Circuits and Systems, Integrated Sensors, MEMS and Systems on Chip, Nanoscale Circuits and Systems, Optoelectronic - Circuits and Systems, Power Electronics and Systems - Software for Analog-and-Logic Circuits and Systems - Control aspects of Circuits and Systems.