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Sequential detection/isolation of abrupt changes with some applications

Abstract : The quickest change detection/isolation (multidecision) problem is of im- portance for a variety of applications. Efficient statistical decision tools are needed for detecting and isolating abrupt changes in the properties of stochastic signals and dynamical systems, ranging from on-line fault di- agnosis in complex technical systems to detection/classification in radar, infrared, and sonar signal processing. The early on-line fault diagnosis (detection/isolation) in industrial processes helps in preventing these pro- cesses from more catastrophic failures. The problem of on-line target detec- tion/classification is important when detecting and classifying a type of an abruptly appearing target.
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Submitted on : Monday, June 29, 2020 - 8:56:30 AM
Last modification on : Wednesday, August 31, 2022 - 6:55:41 PM


  • HAL Id : hal-02883321, version 1



Igor V. Nikiforov. Sequential detection/isolation of abrupt changes with some applications. 5th International Workshop in Sequential Methodologies, Columbia University, 2015, New-York, United States. ⟨hal-02883321⟩



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