ID 原文 译文
51087 仿真实验及对比数据表明该方法在包含有白噪声成分的色噪声背景下能够有效进行信源数估计， Simulation experiment and comparison show that the method in contains white noise component of colored noise background effectively source number estimation,
51088 其突出优势表现在小快拍数、低信噪比条件下仍能准确估计信源数，而没有明显增加算法的运算量。 its outstanding performance in the small snapshot number, under the condition of low signal-to-noise ratio still can accurately estimate the source number, without a significant increase in computational complexity of the algorithm.
51089 目前，元数据共享的研究主要集中在一些专业领域，使用的元数据格式不具有普遍适用性。 At present, the research of metadata sharing mainly concentrated in some professional field, use of metadata format does not have universal applicability.
51090 而且随着用户对于信息共享的需求不断提高，异构复杂数据的按需共享和同步成为亟待解决的问题。 And as the user demand for information sharing, heterogeneous demand of complicated data sharing and synchronization become a problem to be solved.
51091 首先，对信息共享技术进行了研究，提出了一种两层结构的元数据格式， First of all, the technology of information sharing are studied, this paper proposes a two layer structure of metadata formats,
51092 第一层元数据为单独一类数据提供了统一的描述格式， the first layer metadata as separate data provides a description of the unified format,
51093 第二层元数据统一管理第一层元数据以屏蔽不同类别元数据格式的差异。 the second floor unified metadata management layer 1 metadata to mask differences of different category metadata format.
51094 其次，在信息共享系统中实现了多类数据在不同用户之间的数据同步，并对元数据的检索方法进行了改进，提高了效率。 Second, in the information sharing system to achieve the kind of data in the data synchronization between different users, and the metadata retrieval method is improved, and improve the efficiency.
51095 最后，通过实验证明了方法的有效性，并给出了结论。 At last, the validity of the method has been proved by experiments, and the conclusion is given.
51096 为了降低无人机航路规划的运算量，减少规划时间，确保算法对于任意形状威胁区域和地形的适应性以及所规划航路的准确性，提出了一种新颖的LA-Star算法用于无人机航路规划。 In order to reduce the computational cost of unmanned aerial vehicle (uav) route planning, reducing the time of planning, and to ensure the algorithm for arbitrary shape threatened area and the terrain adaptability and accuracy of the planning route, this paper proposes a novel LA - Star algorithm for unmanned aerial vehicle (uav) route planning.