看法等
发表于 2025-3-28 17:59:07
Periodization and Decimation,The ring structure of . provides important tools for gaining deep insights into algorithm design. The fundamental partition of the indexing set .., a major step in the Rader-Winograd FT algorithm of the preceeding chapter, was based on the unit group .(..). We will now examine how the ideal theory of the ring . can be used for algorithm design.
污点
发表于 2025-3-28 22:43:22
Cooley-Tukey FFT Algorithms,structure of the indexing set . to define mappings of the input and output data vectors into 2-dimensional arrays. Algorithms are then designed, transforming 2-dimensional arrays which, when combined with these mappings, compute the .-point FFT. The stride permutations of chapter 2 play a major role.
Irksome
发表于 2025-3-28 23:03:56
http://reply.papertrans.cn/16/1533/153219/153219_43.png
condemn
发表于 2025-3-29 04:33:04
http://reply.papertrans.cn/16/1533/153219/153219_44.png
Initiative
发表于 2025-3-29 10:52:27
http://reply.papertrans.cn/16/1533/153219/153219_45.png
Agronomy
发表于 2025-3-29 13:27:50
http://reply.papertrans.cn/16/1533/153219/153219_46.png
generic
发表于 2025-3-29 19:32:30
Der Umgang mit Schatten-IT in Unternehmenstructure of the indexing set . to define mappings of the input and output data vectors into 2-dimensional arrays. Algorithms are then designed, transforming 2-dimensional arrays which, when combined with these mappings, compute the .-point FFT. The stride permutations of chapter 2 play a major role
本土
发表于 2025-3-29 22:10:53
Der Umgang mit Sexualstraftäternus algorithms will now be designed corresponding to transform sizes given as the product of three or more factors. In general, as the number of factors increases, the number of possible algorithms increases.
导师
发表于 2025-3-30 03:40:38
http://reply.papertrans.cn/16/1533/153219/153219_49.png
annexation
发表于 2025-3-30 06:47:01
Fragestellung, Methodik und Datenbasis convolution is to use the convolution theorem which replaces the computation by FFT of correspondingsize. In the last ten years, theoretically better convolution algorithms have been developed. The Winograd Small Convolution algorithm is the most efficient as measured by the number of multiplic