ID 原文 译文
21465 算法首先设计了数据拷贝技巧以快速建模具有白夜晚班约束的排班问题，然后提出基于Block Gibbs的多员工有放回抽样优化策略。 The proposed algorithm firstly designs a data copy trick to quickly model the issue of staff scheduling constrained by day and night alternation. A novel Block Gibbs sampling technique with replacement is designed to efficiently optimize the formulated problem.
21466 理论分析表明该文算法与基准算法具有同规模的计算复杂度，但却具有更高的抽样效率以加大可行解生成规模和求解速度。 Theoretical analysis indicates that the computational complexity of the proposed algorithm is the same scale to that of the baselines, whereas the proposed algorithm gains high sampling efficiency.
21467 与此同时，在国内某大型航空公司外航服务部排班数据集上的实验表明：相比于基准算法，算法在工作总时长、有效工作时长、有效工作时长比例等指标上提升至少0.62%。 Experimental results on a real dataset shows the improvement of the proposed algorithm over the existing methods is at least 0.62% in terms of evaluation measures.
21468 针对基于LTE信号的外辐射源雷达，首先根据LTE信号结构分析了其模糊函数的特性，解释了不同类型副峰的产生机理。 For the passive radar based on Long Term Evolution (LTE) signal, firstly, the ambiguity function are analyzed, and the producing mechanism of different side peaks are explained.
21469 然后，针对对探测性能有影响的两类副峰，提出相应的抑制算法：对于循环前缀副峰，提出数据非连续分块的快速互模糊算法； Then, a series of corresponding suppression algorithms are proposed for two types of side peaks degrading detection performance: For the side peaks caused by the cyclic prefix, a fast ambiguity algorithm based on non-continuous chunking of data is proposed;
21470 对于频谱不连续产生的副峰，提出频带合成和频域加窗的抑制算法。 For the side peaks caused by the non-continuous spectrum, the suppression algorithm of bandwidth synthesis and frequency domain windowed is proposed.
21471 最终通过两种抑制算法的综合处理，得到LTE信号图钉状的模糊函数。 Finally, the thumbtack ambiguity function of the LTE signal is obtained through integrated processing of two suppression algorithms.
21472 该文工作为基于LTE信号的外辐射源雷达副峰抑制提供了新的方法。 The work of this paper provides a new method for the side peaks suppression of the passive radar based on the LTE signal.
21473 q梯度是基于q微分的广义梯度。 The q-gradient is a generalized gradient based on the q-derivative concept.
21474 为了进一步提高仿射投影算法(APA)的滤波性能，该文基于最小均方误差准则将q梯度应用于APA进而产生一种新的q-APA，在高斯噪声环境下选择合适的q值可以取得理想的滤波性能。 To improve the filtering performance of the Affine Projection Algorithm (APA), the q-gradient is applied to APA based on the minimum of the recent mean square errors, generating a novel q-Affine Projection Algorithm (q-APA). The q-APA with appropriate setting of q achieves desirable filtering performance in the presence of Gaussian noises.