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Power Spectra of Point Processes

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Fourier Analysis and Stochastic Processes

Part of the book series: Universitext ((UTX))

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Abstract

A simple point process on the positive half-line is, roughly speaking, a strictly increasing sequence \(\left\{ T_n\right\} _{n\in {\mathbb {N}}_+}\) of random variables taking their values in \([0, +\infty ]\) and called the event times.

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Notes

  1. 1.

    For instance: [Kallenberg], [Neveu], [Daley and Vere-Jones].

  2. 2.

    In particular, for any \(C\in \mathcal{B}(E)\), the mapping \(p_C:\,\mu \rightarrow \mu (C)\) is measurable.

  3. 3.

    The \(\infty \) represents the number of servers. This model is sometimes called a “queuing” system, although in reality there is no queuing, since customers are served immediately upon arrival and without interruption. It is in fact a “pure delay” system.

  4. 4.

    See for instance, Baccelli and Brémaud, Elements of Queuing Theory, Springer, New York, 1994 (2nd edition 2003).

  5. 5.

    This proof is borrowed from [Neveu]. See also [Daley and Vere-Jones]. The latter has also the equivalent of the Cramér–Khinchin decomposition.

  6. 6.

    For applications of the formulas of the present subsection to communications systems, see [Ridolfi].

  7. 7.

    Cioczek-Georges, R., Mandelbrot, B.B.: “A class of micropulses and antipersistent fractal Brownian motion”, Stochastic Processes and their Applications, 60, pp. 1–18, (1995).

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Correspondence to Pierre Brémaud .

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Brémaud, P. (2014). Power Spectra of Point Processes. In: Fourier Analysis and Stochastic Processes. Universitext. Springer, Cham. https://doi.org/10.1007/978-3-319-09590-5_5

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