ID 原文 译文
20175 最后根据预测结果以及对网络拓扑和资源的感知，以尽可能地减少系统开销为目标，通过基于择优选择的贪婪算法将VNF迁移到满足资源阈值约束的底层节点上，并提出基于禁忌搜索的迁移机制进一步优化迁移策略。 Finally, based on the prediction result as well as the perception of network topology andresources, the VNFs are migrated to the physical nodes that meet the resource threshold constraints throughgreedy selection algorithm with the goal to optimize system cost,and then a migration mechanism based ontabu search is proposed to further optimize the migration strategy.
20176 仿真表明，该预测模型能够获得很好的预测效果，自适应学习率加快了训练网络的收敛速度，与迁移算法结合在一起的方式有效地降低了迁移过程中的系统开销和服务级别协议(SLA)违例次数，提高了网络服务的性能。 The simulation results show that the prediction model can obtain good prediction results and adaptive learning rate accelerates the convergence speed of the training network.Moreover, the combination with the migration algorithm reduces effectively system cost and the number of Service Level Agreements (SLA) violations during the migration process, and improves the performance of network services.
20177 为了消除逆合成孔径雷达(ISAR)越分辨单元徙动(MTRC)引起的图像散焦，需要估计目标的等效旋转中心。该文以空间目标为研究对象，提出了一种基于图像旋转相关的ISAR旋转中心估计算法。 The equivalent rotation center should be estimated accurately in the Inverse Synthetic ApertureRadar (ISAR) for the issue of image defocusing induced by the Migration Through Resolution Cells (MTRC).In this paper, an equivalent rotation center estimation algorithm based on image rotation and correlation is proposed for the space target.
20178 首先，分析了ISAR的瞬时成像机理； First, the instantaneous imaging mechanism of ISAR is analyzed.
20179 其次，将采用相同运动补偿后的回波数据分段成像，得到不同视角的2幅图像； Second, two images with different observation angles are obtained by using the echo data with the same motion compensation algorithm.
20180 然后，基于定标后的图像像素旋转和图像相关，估计等效旋转中心。 Finally, the equivalent rotation center is estimated based on the scaled image pixelrotation and image correlation.
20181 当假定的等效旋转中心与真实的旋转中心一致时，2幅图像相关性最大，据此得到旋转中心位置。 Consequently, the estimated position of the rotation center is obtained, when the assumed rotation center is in accordance with the real one and the maximum correlation coefficient of two images is achieved.
20182 仿真实验表明，该算法能够有效利用图像整体信息，估计出高精度的目标等效旋转中心，利于提高成像质量。 The results demonstrate the effectiveness and robustness of the proposed algorithm.
20183 针对多径信道环境下非同步长码DS-CDMA信号扩频码及信息序列等参数的联合估计问题，该文提出了基于序贯蒙特卡罗(SMC)的盲估计算法。 To deal with the problem of joint estimation of spreading codes and information sequences for asynchronous long code DS-CDMA signals in multipath channels, an algorithm is introduced based on Sequential Monte Carlo(SMC) for blind estimation.
20184 该算法采用混合重要密度函数对联合后验分布模型进行抽样，并迭代计算重要性权值，以完成所需状态参量的估计。 The proposed algorithm employes hybrid important sampling density to draw the samples from joint posterior distribution iteratively, and computes the importance weight to complete the estimation of the state variable.