ID 原文 译文
18555 再次，利用迁移后的源域RSS特征与对应标签来训练分类器，并将其用于对迁移后的目标域RSS特征进行分类以得到目标域标签集； Third, a classifier trained from the transferred RSS features and the corresponding labels in source domain is used to classify the transferred RSS features in target domain, and meanwhile the label set corresponding to target domain is obtained.
18556 最后，迭代更新目标域标签集直至算法收敛，进而实现对目标环境的入侵检测。 Finally, the label set corresponding totarget domain is updated in an iterative manner until the proposed algorithm converges, and then the intrusiondetection in target environment is achieved.
18557 实验结果表明，该文所提方法在保证较高检测精度的同时，能够有效克服信号时变性对检测性能的影响。 The experimental results indicate that the proposed approach is able to preserve high detection accuracy as well as overcome the impact of time-variant signal property on the detection performance.
18558 针对基于长期演进(LTE)信号的无源雷达存在同频基站干扰的问题，该文提出一种基于2阶统计量的盲源分离算法， For the problem of co-frequency base station interference in passive radar based on Long TermEvolution (LTE) signal, an algorithm based on blind source separation using second statistics is proposed.
18559 该算法是在卷积混合模型下，通过多通道最小均方(LMS)算法实现分离信号之间的相关性最小。 The presented algorithm is based on convolution mixed model, and achieves the minimum correlation among separated signals through multi-channel Least-Mean-Square (LMS) algorithm.
18560 由于各发射基站信号之间统计不相关，当分离信号之间的相关性达到最小时，完成观测信号的分离。 Without statistical correlationamong the signals of each transmitting base station, the separation of the observed signals is completed whenthe separated signals achieve the minimum correlation.
18561 在此基础上，改进了传统无源雷达信号处理的流程，增加了分离同频干扰基站直达波和多径杂波的步骤，实现了对同频干扰基站杂波的抑制。 On this base, the traditional signal processing forpassive radar is improved. The steps of separating co-frequency interference clutter consisting of both direct-path and multipath clutter are added, which can suppress the clutter interference of co-channel base station.
18562 通过仿真分析，验证了算法的有效性，为基于LTE信号的无源雷达数据处理提供了参考。 Simulation and analysis verify the effectiveness of the algorithm. The algorithm provides a reference for dataprocessing of passive radar based on LTE signal.
18563 图像间的风格迁移是一类将图片在不同领域进行转换的方法。 Image-to-image translation is a method to convert images in different domains.
18564 随着生成式对抗网络在深度学习中的快速发展，其在图像风格迁移领域中的应用被日益关注。 With the rapid development of the Generative Adversarial Network(GAN) in deep learning, GAN applications are increasingly concerned in the field of image-to-image translation.