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The Fractional Fourier Transform and Applications
Abstract
This paper describes the “fractional Fourier transform,” which admits computation by an algorithm that has complexity proportional to the fast Fourier transform algorithm. Whereas the discrete Fourier transform (DFT) is based on integral roots of unity $e^{{{ - 2\pi i} / n}} $, the fractional Fourier transform is based on fractional roots of unity $e^{ - 2\pi i\alpha } $ where $\alpha $ is arbitrary. The fractional Fourier transform and the corresponding fast algorithm are useful for such applications as computing DFTs of sequences with prime lengths, computing DFTs of sparse sequences, analyzing sequences with noninteger periodicities, performing high-resolution trigonometric interpolation, detecting lines in noisy images, and detecting signals with linearly drifting frequencies. In many cases, the resulting algorithms are faster by arbitrarily large factors than conventional techniques.
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Citations
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
Stein, M. L. (1999) · Springer Series in Statistics · doi:10.1007/978-1-4612-1494-6 · Cited by 2,348
Atomic electron tomography: 3D structures without crystals
Miao, J., Ercius, P., & Billinge, S. J. L. (2016) · Science · doi:10.1126/science.aaf2157 · Cited by 319
Candès, E. J., & Guo, F. (2002) · Signal Processing · doi:10.1016/s0165-1684(02)00300-6 · Cited by 290
Matsushima, K., & Nakahara, S. (2009) · Applied Optics · doi:10.1364/ao.48.000h54 · Cited by 284
DFrFT-based near-field channel estimation for extremely large-scale MIMO systems
Xu, P.-Z., Xiang, W., & Yu, Q.-Y. (2024) · IEEE Communications Letters · doi:10.1109/lcomm.2024.3408796 · Cited by 11
Metadata
- Authors
- Bailey, D. H., & Swarztrauber, P. N.
- Venue
- SIAM Review
- Published
- 1991-09
- Volume
- 33
- Issue
- 3
- Pages
- 389-404
- ISSN
- 0036-1445 (ISSN-L)
- 1095-7200
- OpenAlex
- W2078498319
- Cited by
- 333
- References
- 1
- FWCI
- 4.46
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bailey, D. H., & Swarztrauber, P. N. (1991). The Fractional Fourier Transform and Applications. SIAM Review. https://doi.org/10.1137/1033097
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.