ID	原文	译文
7924	实验表明该算法提高了图像分类的有效性。	Experimental results show the effectiveness of the proposed algorithm improves the image classification.
7925	针对卫星资源失效或应急任务加入对敏捷成像卫星前摄式调度的影响,构建了鲁棒模型,提出了一种改进差分进化(differential evolution,DE)算法。	For resources satellite failure or emergency task to join the impact on the proactive type agile imaging satellites scheduling, built a robust model, an improved differential evolution (differential evolution, DE) algorithm.
7926	首先,考虑卫星资源失效概率、任务执行主从窗口构建了期望收益和松弛时间指标,将这两个指标作为优化目标构建了前摄式调度鲁棒模型;	First, considering the failure probability satellite resources, task execution master-slave window to build the expected return and the relaxation time, the two indices as the optimization goal, proactive type robust scheduling model is constructed,
7927	然后,针对该模型的多目标优化特性,在传统DE算法的基础上,重新设计了变异、交叉和选择算子,增加了外部存档更新策略,优化了Pareto解集评价指标,提出一种多目标离散差分进化(multi-objective discrete differential evolution,MDDE)算法,并给出了算法的实现步骤;	Then, in view of the model of multi-objective optimization features, on the basis of the traditional DE algorithm, redesigned the mutation, crossover and selection operator, increased the external archive updating strategy, optimize the Pareto solution set evaluation index, put forward a multi-objective discrete differential evolution (multi - objective discrete 'differential evolution, MDDE) algorithm, and the implementation steps of the algorithm is given;
7928	最后,仿真结果表明,与NSGA-Ⅱ算法相比,MDDE在Pareto解集评价指标上提高了10.42%左右,在求解时间上降低了9.72%左右,为敏捷成像卫星前摄式调度提供了一定的方法支撑。	Finally, the simulation results show that, compared with the NSGA - Ⅱ algorithm MDDE on the Pareto solution set evaluation index increased by 10.42% or so, on the solving time was reduced by 9.72% or so, to provide proactive type agile imaging satellites scheduling method support.
7929	研究互耦背景下双基地多输入多输出(multiple input multiple output,MIMO)雷达中联合波离角(direction-of-departure,DOD)波达角(direction-of-arrival,DOA)的估计问题。	Research under the background of mutual coupling double base of multiple input multiple output (multiple input multiple output, MIMO) radar combined wave from the Angle, direction - of - departure, DOD) Angle of DOA (direction - of - concatenated, DOA) estimation problem.
7930	为利用阵列信号的多维结构,将匹配滤波后的雷达数据表述成一个三阶张量模型。	For the use of multidimensional structure of array signal, the matched filtering after radar data into a third order tensor model.
7931	考虑到均匀线性阵列互耦矩阵的带状Toeplitz特性,利用部分阵元方向矩阵具有共同的尺度变换特性消除互耦的影响。	Considering the mutual coupling matrix of uniform linear array banded Toeplitz features, using some yuan direction matrix has the common features of the scale of the transform to eliminate the influence of mutual coupling.
7932	结合前后平滑技术和酉变换技术,构建去耦后数据的增广输出三线性模型,再将联合DOD与DOA估计与三线性模型相联系。	Combined with smooth and unitary transformation technology, before and after construction of decoupling augmented output data after three linear model, then joint DOD and associated DOA estimation with three linear model.
7933	所提算法能够获得自动配对的目标角度估计,且由于平滑技术的使用,所提算法对相干源具有一定的分辨能力。	The proposed algorithm can achieve the goal of automatic matching Angle estimation, and due to the use of smooth, the proposed algorithm of coherent source has a certain resolution.