{"title":"计算二维离散Hartley变换的矢量-基数新算法","authors":"M. T. Hamood, K. Gaeid, Sufian H. Ali","doi":"10.1109/MED.2014.6961509","DOIUrl":null,"url":null,"abstract":"This paper presents an efficient vector-radix fast Hartley transform (VR-22×22-FHT) algorithm for computing the two dimensional discrete Hartley transform (2-D DHT). The proposed algorithm achieves, at the same time, both the speed advantage of the vector-radix-4×4 FHT algorithm and the simplest structural complexity offered by vector-radix-2×2 algorithm. The algorithm is implemented its arithmetic complexity is analysed and compared to the existing 2-D FHT algorithms such as row-column (RC) approach and vector-radix (VR). The result of this comparison has shown that the proposed algorithm significantly reduces the number of operations compared to RC approach and noticeably better performance than VR algorithm.","PeriodicalId":127957,"journal":{"name":"22nd Mediterranean Conference on Control and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"New vector-radix algorithm for computing two-dimensional discrete Hartley transform\",\"authors\":\"M. T. Hamood, K. Gaeid, Sufian H. Ali\",\"doi\":\"10.1109/MED.2014.6961509\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an efficient vector-radix fast Hartley transform (VR-22×22-FHT) algorithm for computing the two dimensional discrete Hartley transform (2-D DHT). The proposed algorithm achieves, at the same time, both the speed advantage of the vector-radix-4×4 FHT algorithm and the simplest structural complexity offered by vector-radix-2×2 algorithm. The algorithm is implemented its arithmetic complexity is analysed and compared to the existing 2-D FHT algorithms such as row-column (RC) approach and vector-radix (VR). The result of this comparison has shown that the proposed algorithm significantly reduces the number of operations compared to RC approach and noticeably better performance than VR algorithm.\",\"PeriodicalId\":127957,\"journal\":{\"name\":\"22nd Mediterranean Conference on Control and Automation\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"22nd Mediterranean Conference on Control and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MED.2014.6961509\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"22nd Mediterranean Conference on Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MED.2014.6961509","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
New vector-radix algorithm for computing two-dimensional discrete Hartley transform
This paper presents an efficient vector-radix fast Hartley transform (VR-22×22-FHT) algorithm for computing the two dimensional discrete Hartley transform (2-D DHT). The proposed algorithm achieves, at the same time, both the speed advantage of the vector-radix-4×4 FHT algorithm and the simplest structural complexity offered by vector-radix-2×2 algorithm. The algorithm is implemented its arithmetic complexity is analysed and compared to the existing 2-D FHT algorithms such as row-column (RC) approach and vector-radix (VR). The result of this comparison has shown that the proposed algorithm significantly reduces the number of operations compared to RC approach and noticeably better performance than VR algorithm.