Title
Computation of convolutions and discrete Fourier transforms by polynomial transforms
Abstract
Discrete transforms are introduced and are defined in a ring of polynomials. These polynomial transforms are shown to have the convolution property and can be computed in ordinary arithmetic, without multiplications. Polynomial transforms are particularly well suited for computing discrete two-dimensional convolutions with a minimum number of operations. Efficient algorithms for computing one-dimensional convolutions and Discrete Fourier Transforms are then derived from polynomial transforms.
Year
DOI
Venue
1978
10.1147/rd.222.0134
IBM Journal of Research and Development
Keywords
Field
DocType
discrete fourier,one-dimensional convolution,discrete fourier transforms,minimum number,discrete two-dimensional convolution,efficient algorithm,ordinary arithmetic,convolution property,discrete fourier transform
Cyclotomic fast Fourier transform,Polynomial,Algebra,Discrete Fourier series,Fast Fourier transform,Discrete Fourier transform (general),Discrete Fourier transform,Discrete sine transform,Mathematics,Sine and cosine transforms
Journal
Volume
Issue
ISSN
22
2
0018-8646
Citations 
PageRank 
References 
16
15.03
1
Authors
2
Name
Order
Citations
PageRank
H. J. Nussbaumer13833.38
Quandalle, P.21615.03