Nonuniform sampling for detection of abrupt changes
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Date
2003
Authors
Tokat, Sezai
Journal Title
Journal ISSN
Volume Title
Publisher
Birkhauser Boston Inc
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.
Description
Keywords
Change detection, Cumulative sum test, Nonuniform sampling
Turkish CoHE Thesis Center URL
Citation
2
WoS Q
N/A
Scopus Q
Q2
Source
Volume
22
Issue
4
Start Page
395
End Page
404