標(biāo)題: Titlebook: Algorithms for Discrete Fourier Transform and Convolution; Richard Tolimieri,Chao Lu,Myoung An Book 1997Latest edition Springer-Verlag New [打印本頁] 作者: 動詞 時(shí)間: 2025-3-21 18:24
書目名稱Algorithms for Discrete Fourier Transform and Convolution影響因子(影響力)
書目名稱Algorithms for Discrete Fourier Transform and Convolution影響因子(影響力)學(xué)科排名
書目名稱Algorithms for Discrete Fourier Transform and Convolution網(wǎng)絡(luò)公開度
書目名稱Algorithms for Discrete Fourier Transform and Convolution網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Algorithms for Discrete Fourier Transform and Convolution被引頻次
書目名稱Algorithms for Discrete Fourier Transform and Convolution被引頻次學(xué)科排名
書目名稱Algorithms for Discrete Fourier Transform and Convolution年度引用
書目名稱Algorithms for Discrete Fourier Transform and Convolution年度引用學(xué)科排名
書目名稱Algorithms for Discrete Fourier Transform and Convolution讀者反饋
書目名稱Algorithms for Discrete Fourier Transform and Convolution讀者反饋學(xué)科排名
作者: 值得 時(shí)間: 2025-3-21 21:28
Der Umgang mit der Stadtgesellschaftmain idea is to use the additive structure of the indexing set . to define mappings of input and output data vectors into two-dimensional arrays. Algorithms are then designed, transforming two-dimensional arrays which, when combined with these input/output mappings, compute the N-point FT. The stride permutations of chapter 2 play a major role.作者: NOMAD 時(shí)間: 2025-3-22 02:15
Wolf-Dietrich Bukow,Erol Yildizalgorithms will now be designed corresponding to transform sizes given as a product of three or more factors. In general, as the number of factors increases, the number of possible algorithms increases.作者: PLAYS 時(shí)間: 2025-3-22 06:36
Wolf-Dietrich Bukow,Erol Yildiz. 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 applied the multiplicative structure previously, in chapter 5, in the derivation of the Good-Thomas PFA.作者: 妨礙 時(shí)間: 2025-3-22 12:46 作者: Loathe 時(shí)間: 2025-3-22 12:53
Urbanit?t und gesellschaftliche IntegrationIn this chapter we will give a brief account of several important results from applied algebra necessary to develop the algorithms in this text. In particular, we will describe the main properties of the following rings:作者: prolate 時(shí)間: 2025-3-22 19:49
Wolf-Dietrich Bukow,Erol YildizTensor product offers a natural language for expressing digital signal processing (DSP) algorithms in terms of matrix factorizations. In this chapter, we define the tensor product and derive several important tensor product identities.作者: Herbivorous 時(shí)間: 2025-3-22 21:40
Die gesetzliche UnfallversicherungMultiplicative prime power FT algorithms will be derived. Although multiplicative indexing will play a major role as in the preceding chapters, the multiplicative structure of the underlying indexing ring is significantly more complex, and this increased complexity will be reflected in the resulting algorithms.作者: Vaginismus 時(shí)間: 2025-3-23 02:49 作者: 抓住他投降 時(shí)間: 2025-3-23 08:56 作者: 詢問 時(shí)間: 2025-3-23 13:28 作者: 預(yù)感 時(shí)間: 2025-3-23 14:02 作者: 危機(jī) 時(shí)間: 2025-3-23 21:29
MFTA: ,,,Multiplicative prime power FT algorithms will be derived. Although multiplicative indexing will play a major role as in the preceding chapters, the multiplicative structure of the underlying indexing ring is significantly more complex, and this increased complexity will be reflected in the resulting algorithms.作者: Indicative 時(shí)間: 2025-3-24 01:58 作者: Ige326 時(shí)間: 2025-3-24 02:22 作者: 兇兆 時(shí)間: 2025-3-24 06:51
https://doi.org/10.1007/978-1-4757-2767-8Fourier transform; Permutation; convolution; discrete Fourier transform; fast Fourier transform; fast Fou作者: 合同 時(shí)間: 2025-3-24 13:53
978-1-4419-3115-3Springer-Verlag New York 1997作者: 松軟無力 時(shí)間: 2025-3-24 18:12 作者: 安心地散步 時(shí)間: 2025-3-24 21:06
Signal Processing and Digital Filteringhttp://image.papertrans.cn/a/image/153220.jpg作者: 很像弓] 時(shí)間: 2025-3-25 01:02 作者: Gingivitis 時(shí)間: 2025-3-25 07:09
Wolf-Dietrich Bukow,Erol Yildizalgorithms will now be designed corresponding to transform sizes given as a product of three or more factors. In general, as the number of factors increases, the number of possible algorithms increases.作者: 主動脈 時(shí)間: 2025-3-25 10:08
Der Umgang mit der Stadtgesellschafte multiplicative structure can be applied, in the case of transform size . = ., where . and . are relatively prime, to design an FT algorithm that is similar in structure to these additive algorithms but no longer requires the twiddle factor multiplication. The idea is due to Good [2] in 1958 and Th作者: Interferons 時(shí)間: 2025-3-25 12:59 作者: Morbid 時(shí)間: 2025-3-25 16:29
Der Umgang mit der Stadtgesellschafthods are required. First, as discussed in chapter 6, these algorithms keep the number of required multiplications small, but they can require many additions. Also, each size requires a different algorithm. There is no uniform tructure that can be repeatedly called upon. In this chapter, a technique 作者: 格子架 時(shí)間: 2025-3-25 22:01 作者: Osteons 時(shí)間: 2025-3-26 03:37
Wolf-Dietrich Bukow,Erol Yildizws. For a prime . is a field and the unit group . is cyclic. Reordering input and output data relative to a generator of ., the p-point FT becomes essentially a (p-1) x (p-1) . matrix action. We require 2(p-1) additions to make this change. Rader computes this skew-circulant action by the convolutio作者: 樹上結(jié)蜜糖 時(shí)間: 2025-3-26 06:50 作者: 殺人 時(shí)間: 2025-3-26 09:23
Die gesetzliche Unfallversicherungmore distinct primes. In fact, we will give a procedure for designing algorithms for transform size . = . a prime not dividing ., whenever an algorithm for transform size . is given. We will also include FT algorithms for transform size 4., where . is a product of distinct odd primes.作者: 有助于 時(shí)間: 2025-3-26 15:54 作者: 修剪過的樹籬 時(shí)間: 2025-3-26 20:17
Cooley-Tukey FFT Algorithms,main idea is to use the additive structure of the indexing set . to define mappings of input and output data vectors into two-dimensional arrays. Algorithms are then designed, transforming two-dimensional arrays which, when combined with these input/output mappings, compute the N-point FT. The stride permutations of chapter 2 play a major role.作者: LIMN 時(shí)間: 2025-3-27 00:39
Variants of FT Algorithms and Implementations,algorithms will now be designed corresponding to transform sizes given as a product of three or more factors. In general, as the number of factors increases, the number of possible algorithms increases.作者: Aggregate 時(shí)間: 2025-3-27 03:00
Multiplicative Fourier Transform Algorithm,. 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 applied the multiplicative structure previously, in chapter 5, in the derivation of the Good-Thomas PFA.作者: 冒失 時(shí)間: 2025-3-27 07:15 作者: ELUC 時(shí)間: 2025-3-27 13:22
Algorithms for Discrete Fourier Transform and Convolution作者: 泥沼 時(shí)間: 2025-3-27 15:58 作者: 盲信者 時(shí)間: 2025-3-27 19:37 作者: ANN 時(shí)間: 2025-3-28 01:15
Book 1997Latest editionhm. The main goal of this text is to describe tools that can serve both of these needs. In fact, it is our belief that certain mathematical ideas provide a natural language and culture for understanding, unifying and implementing a wide range of digital signal processing (DSP) algo- rithms. This bel作者: 要求比…更好 時(shí)間: 2025-3-28 03:34 作者: Mnemonics 時(shí)間: 2025-3-28 08:59 作者: circuit 時(shí)間: 2025-3-28 12:55 作者: 微枝末節(jié) 時(shí)間: 2025-3-28 18:08 作者: canonical 時(shí)間: 2025-3-28 20:04
https://doi.org/10.1007/978-3-662-06552-5iate composite size cases. The method is completely algebraic and results in composite size algorithms whose factors contain tensor products of prime size factors. However, these results are not totally appealing since complex permutations appear. A related problem is that tensor products are taken over direct sum factors.作者: PANIC 時(shí)間: 2025-3-29 02:14 作者: Dendritic-Cells 時(shí)間: 2025-3-29 04:24 作者: RAFF 時(shí)間: 2025-3-29 11:04 作者: tenuous 時(shí)間: 2025-3-29 12:22 作者: 維持 時(shí)間: 2025-3-29 17:31
Linear and Cyclic Convolutions,onvolution by an FT of the corresponding size. 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 multiplications.作者: Dictation 時(shí)間: 2025-3-29 22:55 作者: 有毒 時(shí)間: 2025-3-30 03:58
MFTA: The Prime Case,n theorem that returns the computation to an FT computation. Since the size (p-1) is a composite number, the (p-1)-point FT can be implemented by Cooley-Tukey FFT algorithms. The Winograd algorithm for small convolutions also can be applied to the skew-circulant action. (See problems 3, 4 and 5 for basic properties of skew-circulant matrices.)作者: 諄諄教誨 時(shí)間: 2025-3-30 06:16
MFTA: Product of Two Distinct Primes,iate composite size cases. The method is completely algebraic and results in composite size algorithms whose factors contain tensor products of prime size factors. However, these results are not totally appealing since complex permutations appear. A related problem is that tensor products are taken over direct sum factors.作者: 是限制 時(shí)間: 2025-3-30 08:17 作者: liaison 時(shí)間: 2025-3-30 16:06 作者: palliative-care 時(shí)間: 2025-3-30 20:24
Good-Thomas PFA,e multiplicative structure can be applied, in the case of transform size . = ., where . and . are relatively prime, to design an FT algorithm that is similar in structure to these additive algorithms but no longer requires the twiddle factor multiplication. The idea is due to Good [2] in 1958 and Th作者: engender 時(shí)間: 2025-3-30 20:43
Linear and Cyclic Convolutions, convolution is to zero-tap, turning the linear convolution into a cyclic convolution, and to use the convolution theorem, which replaces the cyclic convolution by an FT of the corresponding size. In the last ten years, theoretically better convolution algorithms have been developed. The Winograd Sm作者: 怪物 時(shí)間: 2025-3-31 03:25
Agarwal-Cooley Convolution Algorithm,hods are required. First, as discussed in chapter 6, these algorithms keep the number of required multiplications small, but they can require many additions. Also, each size requires a different algorithm. There is no uniform tructure that can be repeatedly called upon. In this chapter, a technique 作者: anus928 時(shí)間: 2025-3-31 07:10 作者: flammable 時(shí)間: 2025-3-31 12:37
