{"title":"二维数变换计算的解析研究","authors":"N. Ivanov","doi":"10.1109/DSPWS.1996.555550","DOIUrl":null,"url":null,"abstract":"The fact that the elements of two dimensional (2D) arrays, processed by a computer, are sampled on space and quantities in the range /spl plusmn/2/sup n/, permits its treatment as elements of integer fields Z/sub m/. Within the limits of this field, an orthogonal set of functions could be build. These functions form a basis of general Fourier-Galois transformations. The features of these transformations are very close to the well known transformation of Fourier, observe the theorem of time-frequency duality and permit realization of error free calculation of spectra. In cases when powers of 2 are used as twiddle factors, this transformation is known as the number theoretic transform (NTT). In order to improve the practical use of the generalized Fourier-Galois transform, for digital signal processing, this paper presents a study of a method for calculating the two dimensional NTT.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Calculation of two dimensional number transform-an analytical study\",\"authors\":\"N. Ivanov\",\"doi\":\"10.1109/DSPWS.1996.555550\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The fact that the elements of two dimensional (2D) arrays, processed by a computer, are sampled on space and quantities in the range /spl plusmn/2/sup n/, permits its treatment as elements of integer fields Z/sub m/. Within the limits of this field, an orthogonal set of functions could be build. These functions form a basis of general Fourier-Galois transformations. The features of these transformations are very close to the well known transformation of Fourier, observe the theorem of time-frequency duality and permit realization of error free calculation of spectra. In cases when powers of 2 are used as twiddle factors, this transformation is known as the number theoretic transform (NTT). In order to improve the practical use of the generalized Fourier-Galois transform, for digital signal processing, this paper presents a study of a method for calculating the two dimensional NTT.\",\"PeriodicalId\":131323,\"journal\":{\"name\":\"1996 IEEE Digital Signal Processing Workshop Proceedings\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1996 IEEE Digital Signal Processing Workshop Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSPWS.1996.555550\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1996 IEEE Digital Signal Processing Workshop Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSPWS.1996.555550","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Calculation of two dimensional number transform-an analytical study
The fact that the elements of two dimensional (2D) arrays, processed by a computer, are sampled on space and quantities in the range /spl plusmn/2/sup n/, permits its treatment as elements of integer fields Z/sub m/. Within the limits of this field, an orthogonal set of functions could be build. These functions form a basis of general Fourier-Galois transformations. The features of these transformations are very close to the well known transformation of Fourier, observe the theorem of time-frequency duality and permit realization of error free calculation of spectra. In cases when powers of 2 are used as twiddle factors, this transformation is known as the number theoretic transform (NTT). In order to improve the practical use of the generalized Fourier-Galois transform, for digital signal processing, this paper presents a study of a method for calculating the two dimensional NTT.