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Spline approximation of power spectra with measurements at random times

  • Mathematical Processing of Experimental Data
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Russian Physics Journal Aims and scope

Abstract

We propose and investigate algorithms for approximating the power spectra of stationary Gaussian random processes with first-order splines where the measurement points form a Poisson or recurrent event flow with known characteristics.

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References

  1. T. Anderson, Statistical Analysis of Time Series [Russian translation], Mir, Moscow (1976).

    MATH  Google Scholar 

  2. N. Yu. Margolis, Controlled Bulk Servicing Systems [in Russian], Izd. Tomsk State University, Tomsk (1984).

    Google Scholar 

  3. L. E. Radyuk and A. F. Terpugov, Probability Theory and Random Processes [in Russian], Tomsk State University, Tomsk (1988).

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  4. F. F. Idrisov and V. N. Tkachenko, Izv. Vuzov. Fiz., No. 2, 55–66 (1994).

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Authors
  1. F. F. Idrisov
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Additional information

Anzhero-Sudzhensk Affiliate of Tomsk Pedagogical University. Translated from Izvestiya Vysshikh Uchebnykh Zavedenii, Fizika, No. 4, pp. 27–32, April, 1997.

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Idrisov, F.F. Spline approximation of power spectra with measurements at random times. Russ Phys J 40, 332–337 (1997). https://doi.org/10.1007/BF02508853

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  • DOI: https://doi.org/10.1007/BF02508853

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