ID 原文 译文
23095 并为支持交换机迁移过程中控制器角色的平滑切换设计了一种交换机迁移的消息交互机制。 Meanwhile, to achieve the smooth switching of controllers' roles during migrating switches, an information interaction procedure is also designed.
23096 最后，在基于 Floodlight 和 Mininet 的实验环境中验证了所提出方法的有效性。 Finally, experiments are carried out based on Floodlight and Mininet to verify the feasibility and efficiency of the proposed mechanism.
23097 现有跳频信号参数估计算法大多没有考虑跳频信号的结构特性，在低信噪比下存在计算复杂度高或估计精度低的缺点，针对这一问题，该文提出一种基于滑窗和原子字典的压缩域跳频信号参数估计算法。 Most existing parameter estimation algorithms for Frequency Hopping (FH) signal do not consider the structural characteristics of FH signals, and have the disadvantages of high computational complexity or low estimation accuracy in low signal-to-noise ratio circumstance. To solve this problem, this paper proposes a parameter estimation algorithm for frequency hopping signal in compressed domain based on sliding window and atomic dictionary.
23098 用滑窗法对所处理的跳频信号进行整周期滑动压缩采样，粗略估计出跳频信号的跳变时刻，以块对角化的傅里叶正交基作为稀疏基精确估计出跳变前后的频率，在此基础上构建可以表示跳频信号局部时频特性的原子字典，通过匹配追踪算法准确估计出跳频信号的跳变时刻。 The frequency hopping signal is acquired by sliding compression sampling, and hopping time is roughly estimated with sliding window method. The Fourier orthogonal basis of block diagonalization is used as sparse basis to estimate the frequency of the signal. An atomic dictionary, which can represent the local time-frequency characteristics of the frequency hopping signal, is constructed based on the estimated frequency and rough hopping time. Then the hopping time can be estimated accurately by the matching pursuit algorithm.
23099 实验结果表明，该算法在显著降低信号采样数据量和计算复杂度的同时，保持了跳频信号参数的高精度估计。 Simulation results show that this algorithm can significantly reduce the sampling data and computational complexity, while maintaining the high accuracy estimation.
23100 在复杂场景下，为了更好地提升跟踪的鲁棒性，基于局部的相似度测量得到了广泛应用。 The  local similarity measurements are usually used for improving the tracking robustness  under the complex scene.
23101 然而，局部遮挡，形变和光照变化等场景的复杂性，基于传统局部相似度测量的目标跟踪存在很大缺点，例如，在跟踪过程中，仅仅依靠目标和模板的匹配度容易造成跟踪的偏移现象。 However, this method have drawbacks in cases of partial occlusion, deformation and rotation. For example, the method only considers traditional similarity measurements of targets and templates, results in the matching errors to lead to tracking failure.
23102 鉴于此，该文提出一种基于局部差别性相似度测量的目标跟踪算法。 In this paper, a target tracking algorithm is proposed based on measurements of the local difference similarities.
23103 首先，以目标-背景的差异性，形成相似性和差异性相结合的局部判别性相似度测量； firstly, both similarities and differences are considered for measurement;
23104 其次，基于子块在视频序列中的差异性，对子块进行差异性学习，以提高跟踪的准确性。 secondly, the differential weight learning of the local region is carried out to improve the accuracy of sub-block difference measurement;