Quick Search for Rare Events
Quick Search for Rare Events
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快速搜索稀有事件
DOI：
--
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发表时间：
2012
影响因子：
2.5
通讯作者：
H. Poor
中科院分区：
文献类型：
--
作者：
A. Tajer;H. Poor
在许多应用中可能发生罕见事件。当这些事件表现为要利用的机会、要改善的风险或要提取的某些特征时，这些事件就变得至关重要。由于其零星的性质，与罕见事件相关的信息承载信号往往存在于大量不相关的信号中，并且不容易获得。本文提供了一个统计框架，用于检测此类事件，使检测可靠性和灵活性之间的最佳平衡，作为两个相对的性能指标，建立。这个框架的核心组成部分是一个采样过程，自适应和快速地集中信息收集资源的数据集的片段，承担有关的罕见事件的信息。特别关注的是高斯信号与罕见的均值和方差值检测信号的目的。
Rare events can potentially occur in many applications. When manifested as opportunities to be exploited, risks to be ameliorated, or certain features to be extracted, such events become of paramount significance. Due to their sporadic nature, the information-bearing signals associated with rare events often lie in a large set of irrelevant signals and are not easily accessible. This paper provides a statistical framework for detecting such events so that an optimal balance between detection reliability and agility, as two opposing performance measures, is established. The core component of this framework is a sampling procedure that adaptively and quickly focuses the information-gathering resources on the segments of the dataset that bear the information pertinent to the rare events. Particular focus is placed on Gaussian signals with the aim of detecting signals with rare mean and variance values.