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Unequally Spaced Sampling

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Verified Signal Processing Algorithms in MATLAB and C

Abstract

In this chapter we describe the Lomb–Scargle periodogram algorithm [1][2] used for unequally spaced sampling, when certain samples of the input data are missing or unreliable, a modified algorithm is presented that shows better performance than the MATLAB internal function plomb().

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References

  1. Lomb NR (1976) Least-squares frequency analysis of unequally spaced data. Astrophys Space Sci 39:447–462

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  2. Scargle JD (1982) Studies in astronomical time series analysis. II. Statistical aspects of spectral analysis of unevenly spaced data. Astropys J 302:757–763

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  3. Numerical Recipes in C (1992) William H. Press, Saul A. Teukolsky, William T. Vetterling, Brian P. Flannery: 575–581.

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  4. Understanding the Lomb-Scargle periodogram (2018) Jacob T. VanderPlas, The astrophysical journal supplement series, 236:16, 2018.

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Authors and Affiliations

  1. Rishon Lezion, Israel

    Arie Dickman

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  1. Arie Dickman
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Correspondence to Arie Dickman .

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Dickman, A. (2022). Unequally Spaced Sampling . In: Verified Signal Processing Algorithms in MATLAB and C. Springer, Cham. https://doi.org/10.1007/978-3-030-93363-0_14

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  • DOI: https://doi.org/10.1007/978-3-030-93363-0_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-93362-3

  • Online ISBN: 978-3-030-93363-0

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