標(biāo)題: Titlebook: Algorithms for Discrete Fourier Transform and Convolution; R. Tolimieri,Myoung An,Chao Lu,C. S. Burrus (Profe Book 19891st edition Springe [打印本頁(yè)] 作者: CK828 時(shí)間: 2025-3-21 17:51
書(shū)目名稱Algorithms for Discrete Fourier Transform and Convolution影響因子(影響力)
書(shū)目名稱Algorithms for Discrete Fourier Transform and Convolution影響因子(影響力)學(xué)科排名
書(shū)目名稱Algorithms for Discrete Fourier Transform and Convolution網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Algorithms for Discrete Fourier Transform and Convolution網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Algorithms for Discrete Fourier Transform and Convolution被引頻次
書(shū)目名稱Algorithms for Discrete Fourier Transform and Convolution被引頻次學(xué)科排名
書(shū)目名稱Algorithms for Discrete Fourier Transform and Convolution年度引用
書(shū)目名稱Algorithms for Discrete Fourier Transform and Convolution年度引用學(xué)科排名
書(shū)目名稱Algorithms for Discrete Fourier Transform and Convolution讀者反饋
書(shū)目名稱Algorithms for Discrete Fourier Transform and Convolution讀者反饋學(xué)科排名
作者: cocoon 時(shí)間: 2025-3-21 21:09 作者: Initial 時(shí)間: 2025-3-22 02:15
Partnerinnen und T?chter im Vergleichte the resulting factorization by combining Rader and Winograd small FFT algorithms. The basic factorization is . where . is a block diagonal matrix with small skew-circulant blocks (rotated Winograd cores) and tensor product of these small skew-circulant blocks, and . is a pre-addition matrix with all its entries being 0, 1 or ?1.作者: MELON 時(shí)間: 2025-3-22 05:39 作者: 船員 時(shí)間: 2025-3-22 10:40
Good-Thomas PFA,r in structure to these additive algorithms, but no longer requiring the twiddle factor multiplication. The idea is due to Good [2] in 1958 and Thomas [8] in 1963, and the resulting algorithm is called the Good-Thomas Prime Factor algorithm (PFA).作者: invade 時(shí)間: 2025-3-22 14:50 作者: aqueduct 時(shí)間: 2025-3-22 18:16 作者: Negotiate 時(shí)間: 2025-3-23 00:57
Partnerinnen und T?chter im Vergleich convolution theorem which returns the computation to an FFT computation. Since the size (.?1) is a composite number, the (.?1)-point FT can be handled by Cooley-Tukey FFT algorithms. The Winograd algorithm for small convolutions can also be applied to the skew-circulant action.作者: prick-test 時(shí)間: 2025-3-23 04:29
https://doi.org/10.1007/978-3-658-11082-6 of Rader’s multiplicative FT algorithms, we derive the fundamental factorization . where . is a block-diagonal matrix having skew-circulant blocks (rotated Winograd cores) and tensor products of these skew-circulant blocks and . is a matrix of pre-additions, all of whose entries are 0, 1 or ?1. Variants will then be derived.作者: 無(wú)動(dòng)于衷 時(shí)間: 2025-3-23 08:53 作者: ELUC 時(shí)間: 2025-3-23 10:49
,: Product of Two Distinct Primes, of Rader’s multiplicative FT algorithms, we derive the fundamental factorization . where . is a block-diagonal matrix having skew-circulant blocks (rotated Winograd cores) and tensor products of these skew-circulant blocks and . is a matrix of pre-additions, all of whose entries are 0, 1 or ?1. Variants will then be derived.作者: 未開(kāi)化 時(shí)間: 2025-3-23 17:18 作者: 不規(guī)則 時(shí)間: 2025-3-23 19:13
Partnerinnen und T?chter im Vergleich some polynomial multiplication modulo a rational polynomial of a special kind. This is the main result in the work of Auslander-Feig-Winograd. Details from the point of view of multiplicative character theory can be found in [2].作者: 一瞥 時(shí)間: 2025-3-23 23:01 作者: mucous-membrane 時(shí)間: 2025-3-24 03:19 作者: Rankle 時(shí)間: 2025-3-24 08:58 作者: 十字架 時(shí)間: 2025-3-24 14:01
Book 19891st editionthm. The main goal of this text is to describe tools which can serve both of these needs. In fact, it is our belief that certain mathematical ideas provide a natural lan- guage and culture for understanding, unifying and implementing a wide range of digital signal processing (DSP) algorithms. This b作者: STRIA 時(shí)間: 2025-3-24 16:19 作者: 考得 時(shí)間: 2025-3-24 19:34
Algorithms for Discrete Fourier Transform and Convolution作者: 接合 時(shí)間: 2025-3-25 00:23
R. Tolimieri,Myoung An,Chao Lu,C. S. Burrus (Profe作者: 四海為家的人 時(shí)間: 2025-3-25 06:41
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作者: FAZE 時(shí)間: 2025-3-25 09:00 作者: 預(yù)示 時(shí)間: 2025-3-25 11:40
Good-Thomas PFA,his multiplicative structure can be applied, in the case of transform size . = ., where . and . are relatively prime, to design a FT algorithm, similar in structure to these additive algorithms, but no longer requiring the twiddle factor multiplication. The idea is due to Good [2] in 1958 and Thomas作者: Expostulate 時(shí)間: 2025-3-25 17:48 作者: PALSY 時(shí)間: 2025-3-25 23:37
Agarwal-Cooley Convolution Algorithm,hods are required. First as discussed in chapter 6, these algorithms keep the number of required multiplications small, but can require many additions. Also, each size requires a different algorithm. There is no uniform structure that can be repeatedly called upon. In this chapter, a technique simil作者: 舞蹈編排 時(shí)間: 2025-3-26 03:08 作者: 明確 時(shí)間: 2025-3-26 04:46
,: The Prime Case,n fact, for a prime ., . is a field and the unit group .(.) is cyclic. Reordering input and output data corresponding to a generator of .(.), the .-point FFT becomes essentially a (.?1) × .?1) . matrix. We require 2(.?1) additions to make this change. Rader computes this skew-circulant action by the作者: 過(guò)多 時(shí)間: 2025-3-26 12:01 作者: humectant 時(shí)間: 2025-3-26 15:31 作者: 混亂生活 時(shí)間: 2025-3-26 17:29
,: Transform Size , = ,,,f relatively primes. These algorithms start with the multiplicative ring-structure of the indexing set, in the spirit of the Good-Thomas PFA and compute the resulting factorization by combining Rader and Winograd small FFT algorithms. The basic factorization is . where . is a block diagonal matrix w作者: Inordinate 時(shí)間: 2025-3-26 21:11
Multiplicative Characters and the FFT, .-decimated and .. -periodic functions on .. with . = ../.. and proved that . where . is the orthogonal complement of .0 in .(..). The space .0 and . are invariant under the action of the Fourier transform . of ... The action of . on .0 was described in the preceeding chapter. We will now take up t作者: interrupt 時(shí)間: 2025-3-27 02:46 作者: Deduct 時(shí)間: 2025-3-27 07:30 作者: 胎兒 時(shí)間: 2025-3-27 10:57
Springer Science+Business Media New York 1989作者: 任意 時(shí)間: 2025-3-27 15:31 作者: 大門在匯總 時(shí)間: 2025-3-27 18:28 作者: prostatitis 時(shí)間: 2025-3-28 01:45
https://doi.org/10.1007/978-3-658-20787-8Tensor product offers a natural language for expressing digital signal processing(DSP) algorithms. In this chapter, we define the tensor product and derive several important tensor product identities.作者: 智力高 時(shí)間: 2025-3-28 03:17
https://doi.org/10.1007/978-3-531-91713-9The 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.作者: amorphous 時(shí)間: 2025-3-28 06:38
Introduction to Abstract Algebra,In this and the next chapters, we present several mathematical results needed to design the algorithms of the text. We assume that the reader has some knowledge of groups, rings and vector spaces but no extensive knowledge is required. Instead, we focus on those mathematical objects which will be used repeatedly in this text.作者: 射手座 時(shí)間: 2025-3-28 11:33
Tensor Product and Stride Permutation,Tensor product offers a natural language for expressing digital signal processing(DSP) algorithms. In this chapter, we define the tensor product and derive several important tensor product identities.作者: 看法等 時(shí)間: 2025-3-28 17:59
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.作者: 污點(diǎn) 時(shí)間: 2025-3-28 22:43
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.作者: Irksome 時(shí)間: 2025-3-28 23:03 作者: condemn 時(shí)間: 2025-3-29 04:33 作者: Initiative 時(shí)間: 2025-3-29 10:52 作者: Agronomy 時(shí)間: 2025-3-29 13:27 作者: generic 時(shí)間: 2025-3-29 19:32
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作者: 本土 時(shí)間: 2025-3-29 22:10
Der Umgang mit Sexualstraft?ternus 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.作者: 導(dǎo)師 時(shí)間: 2025-3-30 03:40 作者: annexation 時(shí)間: 2025-3-30 06:47
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 [1] is the most efficient as measured by the number of multiplic作者: Eclampsia 時(shí)間: 2025-3-30 11:29
Der Umgang mit Sexualstraft?ternhods are required. First as discussed in chapter 6, these algorithms keep the number of required multiplications small, but can require many additions. Also, each size requires a different algorithm. There is no uniform structure that can be repeatedly called upon. In this chapter, a technique simil作者: HAIL 時(shí)間: 2025-3-30 13:28
Fragestellung, Methodik und Datenbasis. since they rely on the subgroups of the additive group structure of the indexing set. A second approach to the design of FT algorithms depends on the multiplicative structure of the indexing set. We appealed to the multiplicative structure previously, in chapter 5, in the derivation of the Good-Th作者: BLINK 時(shí)間: 2025-3-30 18:28
Partnerinnen und T?chter im Vergleichn fact, for a prime ., . is a field and the unit group .(.) is cyclic. Reordering input and output data corresponding to a generator of .(.), the .-point FFT becomes essentially a (.?1) × .?1) . matrix. We require 2(.?1) additions to make this change. Rader computes this skew-circulant action by the作者: 發(fā)牢騷 時(shí)間: 2025-3-30 21:14
https://doi.org/10.1007/978-3-658-11082-6ction to multiplicative FT algorithms, several approaches exist for combining small size FT algorithms into medium or large size FT algorithms by the Good-Thomas FT algorithms. Our approach emphasizes and is motivated by the results of chapter 9. By employing tensor product rules to a generalization
