| ID | 原文 | 译文 |
| 18585 | 为提高信号采样值之间的相关性和降低噪声对感知性能的影响，该文提出基于信号包络自相关矩阵的频谱感知算法。 | In order to improve the correlation between signal samplings and reduce the influence of noise on sensing performance, a spectrum sensing algorithm based on signal envelope autocorrelation matrix is proposed in the paper. |
| 18586 | 首先对采样信号等间隔时长截取，以相邻间隔的采样值计算信号自相关性，并构造出近似自相关矩阵。 | Firstly, the sampling signals are intercepted at equal intervals, the signal autocorrelations are calculated by means of the adjacent interval samples, and an approximate autocorrelation matrix is constructed. |
| 18587 | 其次依据矩阵次对角线元素性质构造了统计量。 | Secondly, the statistic is constructed according to the properties of the sub-diagonal elements ofthe matrix. |
| 18588 | 分别计算了该统计量的检测概率分布函数与虚警概率分布函数，分析了频谱感知算法的检测性能，算法优化了信号相关性的计算，降低了噪声对感知性能的影响。 | The detection probability distribution function and the false alarm probability distribution functionof the statistic are calculated respectively. The detection performances of the spectrum sensing algorithm areanalyzed. The algorithm optimizes the calculation of signal correlation and reduces the impact of noise ondetection performance. |
| 18589 | 最后通过仿真验证了不同参数对检测概率和虚警概率的影响，并提出了进一步提高检测性能的措施。 | Finally, the effects of different parameters on detection probability and false alarm probability are verified by simulation, and some measures are proposed to improve detection performance. |
| 18590 | 已有的节点影响力度量方法均存在一定的局限性。 | There are some limitations in the existing metric methods for measuring node influence. |
| 18591 | 该文基于三度影响力原则，综合考虑局部度量的适宜层次及大规模网络的可扩展性，提出一种基于3级邻居的节点影响力度量方法(TIM)。 | A measurement method of node influence with three-level neighbors is proposed, which is based on the principle of three-degree influence, and considering the appropriate level of local measurement and the scalability of the large-scale network. |
| 18592 | 该方法将节点2, 3级具有传播衰减特性的邻居视为整体，用于度量节点的影响能力。 | Firstly, the neighbors with propagation attenuation characteristics in the second and third level of a node are regarded as a whole, which is used to measure the influence of the node. |
| 18593 | 利用传染病模型及独立级联模型，在3个真实数据集验证了该方法的有效性。 | Then, an algorithmfor measure called Three-level Influence Measurement (TIM) is proposed. Finally, in order to validate the effectiveness of the algorithm, the experiments on three datasets are conducted by using susceptible-infected-recovered model and independent cascade model. |
| 18594 | 实验结果表明，基于3级邻居的节点影响力度量方法在影响力一致性、区分度、排序性等指标中表现优越，且能够有效求解影响力最大化问题。 | The experimental results show that the proposed algorithm issuperior in consistency of influence, discrimination, sorting performance and other evaluation indexes.Furthermore, the TIM is applied to effectively solve the problem of maximizing influence. |