The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
The Fast Fourier Transform
Overview
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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
Theory and application of digital signal processing
Trick, T. N. (1975) · Proceedings of the IEEE · doi:10.1109/proc.1975.10027 · Cited by 1,878
Brigham, E. O., & Yuen, C. K. (1978) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1978.4309919 · Cited by 1,038
Gold, B., & Rader, C. M. (1969) · CERN Document Server (European Organization for Nuclear Research) · Cited by 940
Proakis, J. (1975) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1975.1162707 · Cited by 826
On computing the discrete Fourier transform
Winograd, S. (1978) · Mathematics of Computation · doi:10.1090/s0025-5718-1978-0468306-4 · Cited by 613
A Fast Fourier Transform Algorithm Using Base 8 Iterations
Bergland, G. D. (1968) · Mathematics of Computation · doi:10.1090/s0025-5718-1968-0226899-x · Cited by 100
Accumulation of Round-Off Error in Fast Fourier Transforms
Kaneko, T., & Liu, B. (1970) · Journal of the ACM · doi:10.1145/321607.321613 · Cited by 84
Cited by
A Fourier-based Framework for Domain Generalization
Xu, Q., Zhang, R., Zhang, Y., Wang, Y., & Tian, Q. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr46437.2021.01415 · Cited by 561
A Review of EEG Signal Features and Their Application in Driver Drowsiness Detection Systems
Stancin, I., Cifrek, M., & Jovic, A. (2021) · Sensors · doi:10.3390/s21113786 · Cited by 269
Quantifying and mitigating recorder-induced variability in ecological acoustic indices
(2024) · doi:10.1016/j.ecoinf.2024.102668 · Cited by 7
Quantifying and mitigating recorder-induced variability in ecological acoustic indices
Luna-Naranjo, D., Martínez, J. D., Sánchez-Giraldo, C., Daza, J. M., & López, J. D. (2023) · doi:10.1101/2023.10.16.562620 · Cited by 7
Metadata
- Authors
- Nussbaumer, H. J.
- Venue
- Springer Series in Information Sciences
- Publisher
- Springer Berlin Heidelberg
- Published
- 1981
- Pages
- 80-111
- ISSN
- 0720-678X (ISSN-L)
- OpenAlex
- W4250640407
- Cited by
- 270
- References
- 8
- FWCI
- 0.00
- Type
- book chapter
- Language
- en
- Open access
- closed
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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: The Fast Fourier Transform. https://app.cochat.ai/papers/10.1007/978-3-662-00551-4_4
- The paper
- Nussbaumer, H. J. (1981). The Fast Fourier Transform. Springer Series in Information Sciences. https://doi.org/10.1007/978-3-662-00551-4_4
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
