| ID | 原文 | 译文 |
| 10394 | 然后,对该系统的实时性进行了研究,类比透明计算概念中服务器与用户之间的关系,改变以往传统的数据传输模式,使得该仿真系统的实时性得到了保证。 | Then, the real-time performance of the system are studied, analogy transparent computing concept of the relationship between the server and the user, change the previous traditional data transmission mode, make the simulation system are obtained by the real-time performance. |
| 10395 | 最后,在仿真实验中对处于不同杂波干扰环境中的雷达告警系统的性能进行了对比分析。 | Finally, the simulation experiments in different noise interference in the environment carries out a comparative analysis on the performance of radar warning system. |
| 10396 | 该系统的建立,不仅为验证信号分选算法提供了平台,同时也为外场试验提供仿真数据,具有一定的实际应用价值。 | The establishment of the system not only provides a platform to test signal sorting algorithm, and also provides the simulation data for field test, has certain actual application value. |
| 10397 | 退化数据在小子样、高可靠、长寿命产品可靠性评估中的作用日益突显。 | Degradation data in small sample, high reliability, long life, the role of product reliability assessment is increasingly highlighted. |
| 10398 | 针对工程实践中多阶段可校正电子装备可靠性评估难题,综合考虑任务的多阶段性和校正行为影响,建立了基于Wiener过程的性能退化模型。 | According to engineering practice in multi-stage adjustable electronic equipment reliability evaluation problem, considering the task of periodic and correct behavior, performance degradation model is established based on the Wiener process. |
| 10399 | 采用贝叶斯方法得到退化模型中漂移参数的后验分布估计,构建了光滑函数解决系统校正行为导致的函数不连续性问题。 | Bayesian method is used to get degradation posterior distribution estimation of drift parameters in the model. Build a smooth function behavior caused by system calibration function discontinuity problems. |
| 10400 | 在此基础上根据首次到达时的概率分布提出了多阶段可校正系统的可靠性评估方法,给出相关数值算例,验证了模型、方法和分析结果的正确性和实用性。 | First arrived on this basis, according to the probability distribution of multi-stage adjustable system was put forward method of reliability assessment, related numerical example is given, and verified the model, the validity and the practicability of the method and the analysis results. |
| 10401 | 针对无人机(unmanned aerial vehicle,UAV)数据链在地理环境、气象环境、电磁环境等构成的复杂环境中受干扰程度提出一种结合支持向量机(support vector machine,SVM)与功率准则的预测评估方法。 | For UAV (unmanned aerial vehicle, UAV) data link in geographical environment and meteorological environment, complex environments, such as electromagnetic environment interference degree in this paper, a combination of support vector machine (support vector machine, SVM) and the prediction of power standards assessment method. |
| 10402 | 首先对系统误码率以及干扰传播模型进行仿真,并针对两个单音干扰存在的情况获得仿真数据、划分干扰等级,得到学习样本; | First of all on the system bit error rate and signal propagation model for simulation, and aiming at the existing situation of two single tone jamming simulation data, divided into interference level, by learning samples; |
| 10403 | 比较了特征归一化和特征降维这两种不同输入形式与4种不同核函数下的学习效果,获得了具有良好效果的预测模型; | Normalized features and feature dimension reduction compared the two different input form and effect of learning under four different kernel functions, obtained the good effect of forecast model; |