多变量显著变化过程的快速检测
Multi-variate Quickest Detection of Significant Change Process
摘要：
本文讨论了基于传感器网络的监视系统的数学模型。网络中每个节点获取的信号都是马尔可夫过程，具有两个不同的转移概率，这取决于附近是否存在入侵者。在一个节点处的转移概率变化的检测应该通过在一些其他传感器处的类似变化的检测来确认。基于一个简单的游戏的融合中心的模型，然后构建。在网络上定义的聚集函数是定义非合作停止博弈的背景，非合作停止博弈是多元无序检测的模型。
英文摘要：
The paper deals with a mathematical model of a surveillance system based on a net of sensors. The signals acquired by each node of the net are Markovian process, have two different transition probabilities, which depends on the presence or absence of an intruder nearby. The detection of the transition probability change at one node should be confirmed by a detection of similar change at some other sensors. Based on a simple game the model of a fusion center is then constructed. The aggregate function defined on the net is the background of the definition of a non-cooperative stopping game which is a model of the multivariate disorder detection.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
