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Translated Poisson-Processes

  • Chapter
Random Point Processes in Time and Space

Part of the book series: Springer Texts in Electrical Engineering ((STELE))

Abstract

The point processes we consider in this chapter are useful as models for measured data acquired about an underlying, unobservable point-process when the measurements are imperfect and in the form of a point process. Such a measurement is illustrated in Fig. 3.1. Point of the underlying process, called the input point-process, occur on a space X.

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Authors and Affiliations

  1. Electronic Systems and Signals Research Laboratory, Department of Electrical Engineering, Washington University, St. Louis, MO, 63130, USA

    Donald L. Snyder & Michael I. Miller

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  1. Donald L. Snyder
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  2. Michael I. Miller
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© 1991 Springer-Verlag New York, Inc.

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Snyder, D.L., Miller, M.I. (1991). Translated Poisson-Processes. In: Random Point Processes in Time and Space. Springer Texts in Electrical Engineering. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3166-0_3

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  • DOI: https://doi.org/10.1007/978-1-4612-3166-0_3

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-7821-4

  • Online ISBN: 978-1-4612-3166-0

  • eBook Packages: Springer Book Archive

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