协同系统剩余寿命的一个随机比较

在可靠性理论和实际应用中，协同系统是一种非常重要的系统．考虑第r个元件在时刻t失效的条件下，协同系统以概率1仍在工作时的剩余寿命，并且得到了一个随机比较．     

分类数据的显著性检验

分类数据是定性数据,有别于定量数据,在数学上不易进行处理分析。本文对分类数据的显著性检验问题做了一些讨论。主要介绍了分类数据的X2-检验和似然比检验。     

Mean shift registration algorithm for dissimilar sensors

The mean shift registration (MSR) algorithm is proposed to accurately estimate the biases for multiple dissimilar sensors. The new algorithm is a batch optimization procedure. The maximum likelihood estimator is used to estimate the target states, and then the mean shift algorithm is implemented to estimate the sensor biases. Monte Carlo simulations show that the MSR algorithm has significant improvement in performance with reducing the standard deviation and mean of sensor biased estimation error compared with the maximum likelihood registration algorithm. The quantitative analysis and the qualitative analysis show that the MSR algorithm has less computation than the maximum likelihood registration method.