动态测试中单次性信号测试数据的贝叶斯推断

A BAYESIAN INFERENCE OF MEASUREMENT DATA OF SIMPLE SIGNAL IN DYNAMIC MEASUREMENT

本文提出一种动态测试中单次性信号测试数据的贝叶斯推断方法,其中单次性的被测信号和输出信号被认为是随机过程的现实。通常,在进行测试之前获得这些现实的一些知识是有用的。为了从单次性的动态测试中获取最多的信息,引入了贝叶斯方法使实验者根据测试结果提供的新的信息修改其先验置信度。

The paper presents a kind of bayesian inference of simple signal in dynamic measurement. The simple measured signals and output signals are thought of as realizations of stochastic process. Usually, it is useful to obtain some knowledge of these realizations hefore measurement. For.obtaining the most information, we introduce bayesian method in order to modify their a priori creditability by experimenters by means of new information provided by measurement results.