利用概率分析和随机模型的密度演化方法，导出了系统的一些新的可靠性指标和最优检测策略。
The new system reliability indices and the optimal inspection policy are obtained by using probability analysis and the density evolution method in stochastic.
基于概率统计模型给出了一种多传感器对多目标检测与分类的优化算法。
An optimizing algorithm of detection and classification used in multisensor and multitarget is put forward based on probability statistical model.
以组网雷达融合中心检测概率为目标函数，建立针对组网雷达系统的干扰资源优化分配模型。
Taking detection probability of netted radar fusion center as target function, this paper establishes jamming resource optimum allocation model.
利用概率统计模型和信息增量最大化对运动目标检测进行传感器资源调度。
By utilizing probability statistic model and maximization of information gain, this paper presents a method of sensor resource distribution for dynamic target detection.
针对一种使用了离散非线性采样的视觉注意机制模型，对其应用在小目标预检测上的检测概率进行了研究和分析。
A visual attention mechanism model for discrete nonlinear sampling is studied to analyze its detection probability during pre-detecting small targets.
最后，用线性极化仪GECOR6检测了某住宅结构，并根据检测结果与概率分布模型，对该结构的钢筋锈蚀程度进行了评估，对未来的锈蚀程度给出了定量的预测。
The GECOR 6 is used in field project. According the experience result from this paper give the evaluation and suggesting for the corrosion of the rebar in concrete columns.
模型检测基于概率系统的反例产生问题，在最近引起人们的关注。
Model checking probabilistic systems have been studied well these years, but counterexample generation for probabilistic system model checking has just drawn some attentions recently.
提出了一种基于杂波模型的极化自适应恒虚警检测算法，该算法比极化自适应匹配滤波器算法有更小的估计损失，并推导出了虚警概率表达式。
A model - based polarimetric adaptive CFAR detection algorithm is derived that has a lower estimation loss. A theoretical expression is derived for constant false alarm rate of the proposed algorithm.
在此模型中，把错误概率和检测率作为失真约束，运用博弈论的方法分析了博弈双方在不同失真约束条件下的隐写容量。
Then the author give a proof of the hiding capacity under the condition of no attack, and discuss the characteristic of the model.
在此模型中，把错误概率和检测率作为失真约束，运用博弈论的方法分析了博弈双方在不同失真约束条件下的隐写容量。
Then the author give a proof of the hiding capacity under the condition of no attack, and discuss the characteristic of the model.
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