The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Fast Convolution using fermat number transforms with applications to digital filtering
Abstract
The structure of transforms having the convolution property is developed. A particular transform is proposed that is defined on a finite ring of integers with arithmetic carried out modulo Fermat numbers. This Fermat number transform (FNT) is ideally suited to digital computation, requiring on the order ofN \log Nadditions, subtractions and bit shifts, but no multiplications. In addition to being efficient, the Fermat number transform implementation of convolution is exact, i.e., there is no roundoff error. There is a restriction on sequence length imposed by word length but multi-dimensional techniques are discussed which overcome this limitation. Results of an implementation on the IBM 370/155 are presented and compared with the fast Fourier transform (FFT) showing a substantial improvement in efficiency and accuracy.
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Citations
Cites
Gold, B., & Rader, C. M. (1969) · CERN Document Server (European Organization for Nuclear Research) · Cited by 940
An algorithm for computing the mixed radix fast Fourier transform
Singleton, R. (1969) · IEEE Transactions on Audio and Electroacoustics · doi:10.1109/tau.1969.1162042 · Cited by 539
The fast Fourier transform in a finite field
Pollard, J. M. (1971) · Mathematics of Computation · doi:10.1090/s0025-5718-1971-0301966-0 · Cited by 467
Effects of finite register length in digital filtering and the fast Fourier transform
Oppenheim, A. V., & Weinstein, C. J. (1972) · Proceedings of the IEEE · doi:10.1109/proc.1972.8820 · Cited by 305
Number Theory and Its History.
Pall, G., & Ore, O. (1949) · The American Mathematical Monthly · doi:10.2307/2304748 · Cited by 252
The Relationship Between Two Fast Fourier Transforms
Good, I. J. (1971) · IEEE Transactions on Computers · doi:10.1109/t-c.1971.223236 · Cited by 138
Fast one-dimensional digital convolution by multidimensional techniques
Agarwal, R. K., & Burrus, C. S. (1974) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1974.1162532 · Cited by 131
Self-citationBlock realization of digital filters
Burrus, C. S. (1972) · IEEE Transactions on Audio and Electroacoustics · doi:10.1109/tau.1972.1162387 · Cited by 103
Self-citationAlgebraic theory of finite fourier transforms
Nicholson, P. J. (1971) · Journal of Computer and System Sciences · doi:10.1016/s0022-0000(71)80014-4 · Cited by 74
Cited by
Fast Algorithms for Signal Processing
Blahut, R. E. (2010) · doi:10.1017/cbo9780511760921 · Cited by 274
Metadata
- Authors
- Agarwal, R., & Burrus, C.
- Venue
- IEEE Transactions on Acoustics, Speech, and Signal Processing
- Published
- 1974-04
- Volume
- 22
- Issue
- 2
- Pages
- 87-97
- ISSN
- 0096-3518 (ISSN-L)
- OpenAlex
- W2113994308
- Cited by
- 295
- References
- 9
- FWCI
- 15.76
- Type
- journal article
- Language
- en
- Open access
- closed
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