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Spectral Analysis Of Stationary Point Processes Using The Fast Fourier Transform Algorithm

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  • A. G. Rigas

Abstract

. In this paper we consider techniques of spectral analysis for stationary point processes in order to study the behaviour of a complex physiological system. The estimates of the power spectrum are obtained by smoothing the periodogram which is computed very rapidly with the help of the fast Fourier transform algorithm. In the computation of the estimates we can use either the whole record of the data or a number of disjoint records.

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  • A. G. Rigas, 1992. "Spectral Analysis Of Stationary Point Processes Using The Fast Fourier Transform Algorithm," Journal of Time Series Analysis, Wiley Blackwell, vol. 13(5), pages 441-450, September.
    • Handle: RePEc:bla:jtsera:v:13:y:1992:i:5:p:441-450
    DOI: 10.1111/j.1467-9892.1992.tb00119.x
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    Cited by:

    1. Dimitrios Tsitsis & George Karavasilis & Alexandros Rigas, 2012. "Measuring the association of stationary point processes using spectral analysis techniques," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(1), pages 23-47, March.

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