The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Modern techniques of power spectrum estimation
Abstract
The paper discusses the impact of the fast Fourier transform on the spectrum of time series analysis. It is shown that the computationally fastest way to calculate mean lagged products is to begin by calculating all Fourier coefficients with a fast Fourier transform and then to fast-Fourier-retransform a sequence made up ofa_{k}^{2}+b_{k}^{2}(wherea_{k}+ib_{k}are the complex Fourier coefficients). Also discussed are raw and modified Fourier periodograms, bandwidth versus stability aspects, and aims and computational approaches to complex demodulation. Appendixes include a glossary, a review of complex demodulation without fast Fourier transform, and a short explanation of the fast Fourier transform.
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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
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Cited by
A Computational Approach to Edge Detection
Canny, J. (1986) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1986.4767851 · Cited by 30,004
Wollnik, F., & Döhler, K.-D. (1986) · Physiology & Behavior · doi:10.1016/0031-9384(86)90158-7 · Cited by 39
Metadata
- Authors
- Bingham, C., Godfrey, M., & Tukey, J.
- Venue
- IEEE Transactions on Audio and Electroacoustics
- Published
- 1967-06
- Volume
- 15
- Issue
- 2
- Pages
- 56-66
- ISSN
- 0018-9278 (ISSN-L)
- OpenAlex
- W2133296492
- Cited by
- 426
- References
- 1
- FWCI
- 14.96
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bingham, C., Godfrey, M., & Tukey, J. (1967). Modern techniques of power spectrum estimation. IEEE Transactions on Audio and Electroacoustics. https://doi.org/10.1109/tau.1967.1161895
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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.