2006
DOI: 10.1134/s0032946006020074
|View full text |Cite
|
Sign up to set email alerts
|

A method for computation of the discrete Fourier transform over a finite field

Abstract: A novel method for computation of the discrete Fourier transform over a finite field with reduced multiplicative complexity is described. If the number of multiplications is to be minimized, then the novel method for the finite field of even extension degree is the best known method of the discrete Fourier transform computation. A constructive method of constructing for a cyclic convolution over a finite field is introduced.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
83
0

Year Published

2009
2009
2022
2022

Publication Types

Select...
5
1
1

Relationship

0
7

Authors

Journals

citations
Cited by 32 publications
(83 citation statements)
references
References 4 publications
0
83
0
Order By: Relevance
“…Since the multiplication between a cyclic matrix and a vector can be done by efficient bilinear algorithm of cyclic convolution, CFFTs can be computed by F = AQ(c · Pf ), where Q and P are binary matrices, c is a pre-computed vector, and · denotes an entry-wise multiplication between two vectors. Two variants of DCFFTs, referred to as inverse CFFTs (ICFFTs) [6] and symmetric CFFTs (SCFFTs) [9], respectively, compute the DFTs by…”
Section: Background a Cffts And Ccfts Over Finite Fieldsmentioning
confidence: 99%
See 1 more Smart Citation
“…Since the multiplication between a cyclic matrix and a vector can be done by efficient bilinear algorithm of cyclic convolution, CFFTs can be computed by F = AQ(c · Pf ), where Q and P are binary matrices, c is a pre-computed vector, and · denotes an entry-wise multiplication between two vectors. Two variants of DCFFTs, referred to as inverse CFFTs (ICFFTs) [6] and symmetric CFFTs (SCFFTs) [9], respectively, compute the DFTs by…”
Section: Background a Cffts And Ccfts Over Finite Fieldsmentioning
confidence: 99%
“…CFFTs proposed in [6], [8], [9] have low multiplicative complexities, but they have very high additive complexities. By using techniques such as the common subexpression elimination (CSE) algorithm in [10], the additive complexities of CFFTs can be significantly reduced, leading to small overall computational complexities for DFTs with lengths up to 1024 [10].…”
Section: Introductionmentioning
confidence: 99%
“…Using an approach similar to those in previous works (see, for example, [5]), cyclotomic FFT (CFFT) was recently proposed [6] and two variants were subsequently considered [7], [8]. To avoid confusion, we refer to the CFFT proposed in [6] as direct CFFT (DCFFT) and those in [7] and [8] henceforth in this paper.…”
Section: Introductionmentioning
confidence: 99%
“…To avoid confusion, we refer to the CFFT proposed in [6] as direct CFFT (DCFFT) and those in [7] and [8] henceforth in this paper. DCFFT has been shown to be efficient for full DFTs of lengths up to 511 [6], and ICFFT and SCFFT are particularly suitable for partial DFTs, which compute only part of the spectral components and are important for such operations as syndrome computation of Reed-Solomon decoders [7], [8].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation