Space–bandwidth-efficient realizations of linear systems
Open accessAbstract
One can obtain either exact realizations or useful approximations of linear systems or matrix-vector products that arise in many different applications by implementing them in the form of multistage or multichannel fractional Fourier-domain filters, resulting in space-bandwidth-efficient systems with acceptable decreases in accuracy. Varying the number and the configuration of filters enables one to trade off between accuracy and efficiency in a flexible manner. The proposed scheme constitutes a systematic way of exploiting the regularity or structure of a given linear system or matrix, even when that structure is not readily apparent.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the linear-system-approximation application in [17] and [18], we can implement the fractional Fourier transform stages with this fast algorithm.
“For example, in the linear-system-approximation application in [17] and [18], we can implement the fractional Fourier transform stages with this fast algorithm.”
From The discrete fractional Fourier transform (2000) · cites this paper as [18]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The fractional Fourier transform and time-frequency representations
Almeida, L. B. (1994) · IEEE Transactions on Signal Processing · doi:10.1109/78.330368 · Cited by 1,924 · see citing works
Digital computation of the fractional Fourier transform
Ozaktas, H. M., Arikan, O., Kutay, M. A., & Bozdagt, G. (1996) · IEEE Transactions on Signal Processing · doi:10.1109/78.536672 · Cited by 1,187 · see citing works
Self-citationImage rotation, Wigner rotation, and the fractional Fourier transform
Lohmann, A. W. (1993) · Journal of the Optical Society of America A · doi:10.1364/josaa.10.002181 · Cited by 1,019 · see citing works
Ozaktas, H. M., Mendlovic, D., Onural, L., & Barshan, B. (1994) · Journal of the Optical Society of America A · doi:10.1364/josaa.11.000547 · Cited by 483 · see citing works
Self-citationOptimal filtering in fractional Fourier domains
Kutay, M. A., Özaktaş, H. M., Ankan, O., & Onural, L. (1997) · IEEE Transactions on Signal Processing · doi:10.1109/78.575688 · Cited by 299 · see citing works
Self-citationÖzaktaş, H. M., & David Mendlovic, B. (1995) · Journal of the Optical Society of America A · doi:10.1364/josaa.12.000743 · Cited by 286 · see citing works
Optimal filtering with linear canonical transformations
Barshan, B., Kutay, M. A., & Özaktaş, H. M. (1997) · Optics Communications · doi:10.1016/s0030-4018(96)00598-6 · Cited by 209 · see citing works
Self-citationSahin, A., Özaktaş, H. M., & David Mendlovic, B. (1998) · Applied Optics · doi:10.1364/ao.37.002130 · Cited by 86 · see citing works
Optimal image restoration with the fractional Fourier transform
Kutay, M. A., & Özaktaş, H. M. (1998) · Journal of the Optical Society of America A · doi:10.1364/josaa.15.000825 · Cited by 70 · see citing works
Self-citationZalevsky, Z., & Mendlovic, D. (1996) · Applied Optics · doi:10.1364/ao.35.003930 · Cited by 66 · see citing works
Erden, M. F., & Özaktaş, H. M. (1998) · Journal of the Optical Society of America A · doi:10.1364/josaa.15.001647 · Cited by 31 · see citing works
Self-citationSynthesis of mutual intensity distributions using the fractional Fourier transform
Erden, M. F., Özaktaş, H. M., & Mendlovic, D. (1996) · Optics Communications · doi:10.1016/0030-4018(95)00768-7 · Cited by 31 · see citing works
Self-citationOptical-coordinate transformation methods and optical-interconnection architectures
Mendlovic, D., & Özaktaş, H. M. (1993) · Applied Optics · doi:10.1364/ao.32.005119 · Cited by 16 · see citing works
Flagged first, then by citations
Research works printed but not linked: 14
- [1]1. D. Mendlovic and H. M. Ozaktas, Appl. Opt. 32, 5119 (1993).
- [2]2. M. F. Erden, H. M. Ozaktas, and D. Mendlovic, Opt. Commun. 125, 288 (1996).
- [3]3. Z. Zalevsky and D. Mendlovic, Appl. Opt. 35, 3930 (1996).
- [4]4. M. A. Kutay, H. M. Ozaktas, O. Ar ıkan, and L. Onural, IEEE Trans. Signal Process. 45, 1129 (1997).
- [5]5. M. A. Kutay and H. M. Ozaktas, J. Opt. Soc. Am. A 15, 825 (1998).
- [6]6. H. M. Ozaktas, B. Barshan, D. Mendlovic, and L. Onural, J. Opt. Soc. Am. A 11, 547 (1994).
- [7]7. L. B. Almeida, IEEE Trans. Signal Process. 42, 3084 (1994).
- [8]8. A. W. Lohmann, J. Opt. Soc. Am. A 10, 2181 (1993).
- [9]9. A. Sahin, H. M. Ozaktas, and D. Mendlovic, Appl. Opt. 37, 2130 (1998).
- [10]10. H. M. Ozaktas, O. Arıkan, M. A. Kutay, and G. Bozdagi, IEEE Trans. Signal Process. 44, 2141 (1996).
- [11]11. H. M. Ozaktas and D. Mendlovic, J. Opt. Soc. Am. A 12, 743 (1995).
- [12]12. M. F. Erden, ''Repeated f iltering in consecutive frac- tional Fourier domains,'' Ph.D. dissertation (Bilkent University, Ankara, Turkey, 1997).
- [13]13. M. F. Erden and H. M. Ozaktas, J. Opt. Soc. Am. A 15, 1647 (1998).
- [14]14. B. Barshan, M. A. Kutay, and H. M. Ozaktas, Opt. Commun. 135, 32 (1997).
Cited by
Sorted by citations
The discrete fractional Fourier transform
Candan, C., Kutay, M. A., & Ozaktas, H. M. (2000) · IEEE Transactions on Signal Processing · doi:10.1109/78.839980 · Cited by 683 · see citing works
Self-citationintroduction to the fractional fourier transform and its applications
Ozaktas, H. M., Kutay, M. A., & Mendlovic, D. (1999) · Advances in Imaging and Electron Physics · doi:10.1016/s1076-5670(08)70272-6 · Cited by 164 · see citing works
Self-citationThe discrete fractional Fourier transform
Candan, C., Kutay, M. A., & Ozaktas, H. M. (1999) · 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258) · doi:10.1109/icassp.1999.756324 · Cited by 52 · see citing works
Self-citationSolution and cost analysis of general multi-channel and multi-stage filtering circuits
Kutay, M. A., Ozaktas, H., Erden, M. F., Ozaktas, H. M., & Arikan, O. (2002) · Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380) · doi:10.1109/tfsa.1998.721466 · Cited by 5 · see citing works
Self-citation
- Authors
- Kutay, M. A., Erden, M. F., Ozaktas, H. M., Arıkan, O., Güleryüz, Ö., & Candan, Ç.
- Affiliations
- Bilkent University (TR)
- Tampere University of Technology (FI)
- Venue
- Optics Letters
- Publisher
- Optica Publishing Group
- Published
- 1998-07-15
- Volume
- 23
- Issue
- 14
- Pages
- 1069
- ISSN
- 0146-9592 (ISSN-L)
- 1539-4794
- OpenAlex
- W2036745975
- Semantic Scholar
- c2fcbfb8b7d8f5be20698554e651437a404ff1df
- Cited by
- 22
- References
- 13
- Citations by year
- 2023: 1 · 2022: 1 · 2021: 2 · 2014: 1
- FWCI
- 6.04
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- Optics Letters (publishedVersion)
- PubMed (publishedVersion)
- Bilkent University Institutional Repository (Bilkent University) (submittedVersion)
- OpenMETU (Middle East Technical University) (submittedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Computer Science › Signal Processing › Digital Filter Design and Implementation
- Physical Sciences › Mathematics › Applied Mathematics › Mathematical Analysis and Transform Methods
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Matrix Theory and Algorithms
- Keywords
- fractional Fourier transform, multistage filter, multichannel filters, matrix-vector multiplication, structured matrices, accuracy-efficiency trade-off
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review