2011 20th European Conference on Circuit Theory and Design (ECCTD) 2011
DOI: 10.1109/ecctd.2011.6043634
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Generation of all radix-2 fast Fourier transform algorithms using binary trees

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Cited by 22 publications
(19 citation statements)
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“…The number of angles in the set, L, is usually a power of two and its value depends on the FFT stage, as well as on the radix and decomposition [1], [4], [38]. Apart from W 4 , which only involves trivial rotations [1] and is very simple to implement, W 8 , W 16 [1], [38].…”
Section: Mcr With Uniform Scalingmentioning
confidence: 99%
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“…The number of angles in the set, L, is usually a power of two and its value depends on the FFT stage, as well as on the radix and decomposition [1], [4], [38]. Apart from W 4 , which only involves trivial rotations [1] and is very simple to implement, W 8 , W 16 [1], [38].…”
Section: Mcr With Uniform Scalingmentioning
confidence: 99%
“…Apart from W 4 , which only involves trivial rotations [1] and is very simple to implement, W 8 , W 16 [1], [38].…”
Section: Mcr With Uniform Scalingmentioning
confidence: 99%
“…10 Fast implementation of DFT algorithm on architecture with constant degree processors is also an area of recent research interest. A number of parallel algorithms developed for DFT/FFT in different architectures can be found in the literature [5]- [9], [11], [14], [30]- [32], [34], [35], [36]- [38]. Parallel implementation of Fourier transform has been discussed and implemented in mesh [30]- [32], binary tree [19] and star graph [34].…”
Section: Comparative Study Of Time Complexities Of Parallel Dft In MMmentioning
confidence: 99%
“…These can be divided into two types, power-of-two and non-power-of-two. Certainly, the design of non-power-of-two FFT processors are more challenging because both data management and data processing is not regular [1]- [6].…”
Section: Introductionmentioning
confidence: 99%