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Autori principali: Huang, Yu-Han, Veeravalli, Venugopal V.
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2408.05817
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author Huang, Yu-Han
Veeravalli, Venugopal V.
author_facet Huang, Yu-Han
Veeravalli, Venugopal V.
contents A finite horizon variant of the quickest change detection problem is studied, in which the goal is to minimize a delay threshold (latency), under constraints on the probability of false alarm and the probability that the latency is exceeded. In addition, the horizon is not known to the change detector. A variant of the cumulative sum (CuSum) test with a threshold that increasing logarithmically with time is proposed as a candidate solution to the problem. An information-theoretic lower bound on the minimum value of the latency under the constraints is then developed. This lower bound is used to establish certain asymptotic optimality properties of the proposed test in terms of the horizon and the false alarm probability. Some experimental results are given to illustrate the performance of the test.
format Preprint
id arxiv_https___arxiv_org_abs_2408_05817
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle High Probability Latency Sequential Change Detection over an Unknown Finite Horizon
Huang, Yu-Han
Veeravalli, Venugopal V.
Data Structures and Algorithms
Systems and Control
Statistics Theory
A finite horizon variant of the quickest change detection problem is studied, in which the goal is to minimize a delay threshold (latency), under constraints on the probability of false alarm and the probability that the latency is exceeded. In addition, the horizon is not known to the change detector. A variant of the cumulative sum (CuSum) test with a threshold that increasing logarithmically with time is proposed as a candidate solution to the problem. An information-theoretic lower bound on the minimum value of the latency under the constraints is then developed. This lower bound is used to establish certain asymptotic optimality properties of the proposed test in terms of the horizon and the false alarm probability. Some experimental results are given to illustrate the performance of the test.
title High Probability Latency Sequential Change Detection over an Unknown Finite Horizon
topic Data Structures and Algorithms
Systems and Control
Statistics Theory
url https://arxiv.org/abs/2408.05817