ID 原文 译文
24845 所提挖掘方法可用于其他文本挖掘任务和推荐系统，以提高其性能。 The proposed mining method can be used inother text mining tasks and recommendation systems to improve their performance.
24846 为提高瞬态干扰处理的稳健性，超视距雷达可采用先识别后抑制的思路。 To improve the robustness of transient interference processing, over-the-horizon radar (OTHR) can take the way of suppression after assured detection.
24847 本文研究基于距离-多普勒（Range⁃Doppler, RD）图的瞬态干扰自动识别方法，将 RD图转化为灰度图，提取其纹理特征，再基于机器学习设计分类算法。 This paper analyzes automatic recognition of transient interference in the range-Doppler (RD) map, by transforming the RD map into gray image, extracting the texture features, and designing the classification algorithm based on machine learning.
24848 首先，提出新的瞬态干扰模型，仿真产生干扰数据，避免训练依赖实测数据； Firstly, a model of transient interference is developed to simulate the received data, so that the training does not rely on real data.
24849 其次，建立 RD 灰度图图库，分强干扰、弱干扰和无干扰三类情况； Secondly, the image datasets are produced and classified into three categories, i.e. strong interference, weak interference, and non-interference.
24850 然后，提取局部二值模式（Local Binary Pattern, LBP）纹理特征，基于支持向量机设计二分类器，结合纠错输出编码设计三分类器。 Then, the local binary pattern (LBP) texture features are extracted to design the binary classifier based on support vector machine (SVM) and then design the ternary classifier by error-correcting output codes (ECOC).
24851 最后，通过实测数据和文献RD图，验证本文所提识别方法的准确性，并比较分析不同图像特征及参数的影响。 Finally, simulations based on real data from OTHR and literatures demonstrate the effectiveness of our method and the effects of various parameters and image features.
24852 区域聚焦照射（regional focusing irradiation）能将信号能量准确投送至指定区域，但阵列的超稀疏性使得副瓣区域能量较高，在实施精确电子战时极大增加了干扰系统遭受打击的风险，因此副瓣区域能量抑制问题必须加以解决。 Regional focusing irradiation (RFI) can precisely bring the energy of the transmitted signals to the specific regions. However, the array ultra-sparsity results in high energy level in the sidelobe regions, which increases the risk of the jamming system being attacked in precision electronic warfare. Therefore, it is significant to alleviate the energy level in the sidelobe regions.
24853 本文提出一种基于 L∞范数评估栅瓣区域能量的方法，将其作为正则项引入区域聚焦照射模型以抑制副瓣区域最大能量，并建立了多目标优化模型。 We propose a method based on L∞-norm to evaluate the energy level in the grating lobe regions, and introduce it to the RFI model to establish a multiobjective optimization model to alleviate the maximum energy in the sidelobe regions.
24854 采用交替方向乘子（alternating direction method of multipliers）框架将原问题分解为两个子问题：对于恒模约束下二次规划子问题 I，采用贪婪算法给出其闭式解； The ADMM (Alternating Direction Method of Multipliers) framework is adopted to separate the origin problem into two subproblems. For subproblem-I, we adopt the greedy method to derive the closed-form solutions of the unimodular quadratic program.