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Cited by 426

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Modern techniques of power spectrum estimation

Bingham, C., Godfrey, M., Tukey, J.·1967·IEEE Transactions on Audio and Electroacoustics

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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Crossref · 10.1109/tau.1967.1161895

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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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CoChat. (2026). Citation check: Modern techniques of power spectrum estimation. https://app.cochat.ai/papers/10.1109/tau.1967.1161895
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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.