ID 原文 译文
21965 通过实验仿真，在脉冲丢失率不高于 20%情况下，对复杂脉间调制方式的正确识别概率在 90%以上。 Through experimental simulation, the correct recognition probability of the complex pulse interval modulation method is more than 90% in the case of the pulse loss rate is not more than 20%.
21966 现有的相位编码信号码元速率估计方法在样本点足够多的情况下才能准确估计出参数，且算法复杂度高。 Existing methods for symbol rate estimation of phase coded signals require amounts of sensing data, and are of high computational complexity.
21967 针对此问题，该文详细分析了 BPSK 信号的结构特征，并以此为先验信息对其循环自相关(CA)向量进行压缩采样，降低了传统贝叶斯复数处理方法的维度。 This paper analyzes the structure characteristics of BPSK signals, which are employed as the prior information for signal compressing and dimensionality reduction.
21968 利用压缩传感中离散傅里叶变换矩阵的奇偶性，分解传感矩阵为正弦和余弦变换，分别将 CA 向量的实虚部转换到对应变换域测量，根据复数信号实虚部具有相同支撑集这一特点，采用多任务稀疏贝叶斯重构时延积向量的单边谱分量，从而估计出码元频率。 The sensing matrix can be split into sine and cosine component, combined with the Fourier transform parity. According to the fact that the real and imaginary components of a complex value share the same support set, the symbol rate estimation can be obtained, using unilateral spectral of the delay-product vector reconstructed by multi-task Bayesian compressive sensing.
21969 理论分析和仿真结果表明，相较于其它基于稀疏贝叶斯学习的参数估计算法，所提方法在测量数量较少的情况下也能准确估计出循环频率，且算法实时性显著提高。 Theoretical analysis and simulation results show that compared with other parameter estimation algorithms, the proposed method can reduce the measurements and significantly improve the real-time ability, while keeping the high reconstruction accuracy.
21970 社交网络信息传播控制通过在合适的时机选择最佳的控制点，以较小的代价实现对大部分甚至整个网络的信息传播控制。 In order to control the information propagation of the whole network at a lower cost, some information propagation control methods are introduced into social networks to select the best control point at a proper time.
21971 社交网络用户间的弱关系往往具有信息需求互补、行为取向不断同化的特点，使其在信息扩散过程中有着不可忽视甚至爆发式的传播作用。 However, few work considers the weak ties between nodes to control the information propagation. Due to the characteristics of the complementation of information demand and the continuous assimilation of behavior orientation, the weak ties between nodes may be explosive in the process of information propagation, thus they can not be ignored.
21972 针对这一问题，考虑社交网络强弱关系对信息传播的影响，该文提出一种基于严格可控理论的信息传播控制方法。 To solve this problem, considering the impact of strong and weak ties between nodes on information propagation, a propagation control method based on the exact controllability theory is proposed.
21973 首先，针对强关系对信息传播的影响，提取用户间的亲密度、权威性以及互动频率 3 个影响因素，构建强度关系网络。 Firstly, some strong ties between nodes, such as the node's intimacy, authority and interaction frequency are introduced to build the initial tie networks.
21974 其次，考虑到信息传播中的弱关系特性，对网络中具有潜在价值的弱关系进行识别，并对强度关系网络中的连边权值加以更新。 Secondly, some potential valuable weak ties between nodes are identified and then tie networks are further updated.