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Nonuniform Sampling for Detection of Abrupt Changes

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Abstract

In this work, detection of abrupt changes in continuous-time linear stochastic systems and selection of the sampling interval to improve the detection performance are considered. Cost functions are proposed to optimize both uniform and nonuniform sampling intervals for the well-known cumulative sum algorithm. Some iterative techniques are presented to make online optimization computationally feasible. It is shown that considerable improvement in the detection performance can be obtained by using nonuniform sampling intervals.

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Authors and Affiliations

  1. Department of Electrical-Electronics Engineering, Bo¢gazic¸i University, Bebek, Istanbul, 34342, Turkey

    Feza Kerestecioglu & Sezai Tokat

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  1. Feza Kerestecioglu
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  2. Sezai Tokat
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Correspondence to Feza Kerestecioglu or Sezai Tokat.

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Kerestecioglu, F., Tokat, S. Nonuniform Sampling for Detection of Abrupt Changes. Circuits Syst Signal Process 22, 395–404 (2003). https://doi.org/10.1007/s00034-004-7039-8

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  • DOI: https://doi.org/10.1007/s00034-004-7039-8

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