The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
High-speed convolution and correlation
Open accessAbstract
Cooley and Tukey have disclosed a procedure for synthesizing and analyzing Fourier series for discrete periodic complex functions. For functions of period N, where N is a power of 2, computation times are proportional to N log2 N as expressed in Eq. (0).
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Cites
An algorithm for the machine calculation of complex Fourier series
Cooley, J. W., & Tukey, J. W. (1965) · Mathematics of Computation · doi:10.1090/s0025-5718-1965-0178586-1 · Cited by 13,154
Cited by
The Design and Implementation of FFTW3
Frigo, M., & Johnson, S. G. (2005) · Proceedings of the IEEE · doi:10.1109/jproc.2004.840301 · Cited by 5,086
Short term spectral analysis, synthesis, and modification by discrete Fourier transform
Allen, J. (1977) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1977.1162950 · Cited by 1,051
What is the fast Fourier transform?
Cochran, W., Cooley, J., Favin, D., Helms, H., Kaenel, R., Lang, W., Maling, G., Nelson, D., Rader, C., & Welch, P. (1967) · IEEE Transactions on Audio and Electroacoustics · doi:10.1109/tau.1967.1161899 · Cited by 490
A linear filtering approach to the computation of discrete Fourier transform
Bluestein, L. (1970) · IEEE Transactions on Audio and Electroacoustics · doi:10.1109/tau.1970.1162132 · Cited by 462
Fast Algorithms for Signal Processing
Blahut, R. E. (2010) · doi:10.1017/cbo9780511760921 · Cited by 274
Metadata
- Authors
- Stockham, T. G.
- Venue
- Proceedings of the April 26-28, 1966, Spring joint computer conference on XX - AFIPS '66 (Spring)
- Publisher
- ACM Press
- Published
- 1966
- Pages
- 229
- OpenAlex
- W2048332769
- Cited by
- 319
- References
- 1
- FWCI
- 2.99
- Type
- conference paper
- Language
- en
- Open access
- gold
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- Stockham, T. G. (1966). High-speed convolution and correlation. Proceedings of the April 26-28, 1966, Spring joint computer conference on XX - AFIPS '66 (Spring). https://doi.org/10.1145/1464182.1464209
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.