ID 原文 译文
21605 步长的自适应优化能够显著提升算法的收敛速度。 step-size adaptive optimization can significantly improve the convergence speed of the algorithm.
21606 仿真结果表明，该算法进一步提升了分离性能，并显著缩短了运算时间。 Simulation results show that this algorithm improves the separation performance and shortens the operation time significantly.
21607 该文设计了一种基于超表面(MS)的低雷达散射截面(RCS)宽频贴片阵列天线。 A wideband patch antenna array with low Radar Cross Section (RCS) based on metasurface is proposed.
21608 该天线由工作在不同频段的两种开缝贴片天线组成2×4的八元阵，以此实现天线小型化并扩展其带宽，根据相位相消原理，将两种人工磁导体(AMC)以棋盘布阵的方式组成超表面加载到天线阵周围，使其具有低RCS特性。 The 2×4 antenna array is composed of two kinds of slotted patch antennas working at different frequency band, realizing the miniaturization and bandwidth broadening of the antenna array. Then, based on the phase cancellation principle, low RCS performance is realized owing to the metasurface consisting of two Artificial Magnetic Conductor (AMC) structures in chessboard configuration.
21609 实测和仿真结果表明：加载超表面后，天线工作带宽由5.7~6.2 GHz扩展为5.6~6.6 GHz，相对带宽增大1倍，辐射特性基本保持不变； Simulated and measured results show that the working frequency band is expanded from 5.7~6.2 GHz to 5.6~6.6 GHz and radiation performance remains well with metasurface added to.
21610 当平面波垂直入射时，天线单站RCS减缩效果明显，其中，X极化波下3 dB减缩带宽为5.3~7.0 GHz，最大减缩量达31 dB，Y极化波下3 dB减缩带宽为5.8~6.9 GHz。 Meanwhile the antenna monostatic RCS is reduced significantly. 3 dB RCS reduction is achieved over the range of 5.3 GHz to 7.0 GHz and the peak reduction is up to 31 dB under X polarization. While the 3 dB RCS reduction range is 5.8~6.9 GHz under Y polarization.
21611 基于视觉信息的场景识别定位模块被广泛应用于车辆安全系统。 The visual-based scene recognition and localization module is widely used in vehicle safety system.
21612 针对目前场景逐帧匹配算法训练数据量大、匹配处理计算复杂度高以及跟踪精度低导致难以实际应用的问题，该文提出一种新的基于局部关键区域与关键帧的场景识别方法，在保证匹配精度的同时满足系统实时性的要求。 This paper proposes a new method of scene recognition based on local key region and key frame, which is based on the problem of large amount of training data, large matching complexity and low tracking precision. The proposed method meets the real-time requirements with high accuracy.
21613 首先，该方法仅使用单目摄像机捕获的单一序列作为参考序列，采用无监督方式提取序列的显著性区域作为关键区域，并计算关键区域中低相关性的二值化特征，提高了场景匹配的精确度并大幅减少了实时场景匹配过程中特征生成与匹配的计算复杂度。 First, the method uses the unsupervised method to extract the significant regions of the single reference sequence captured by the monocular camera as the key regions. The binary features with low correlation in key regions are also extracted to improve the scene matching accuracy and reduce the computational complexity of feature generation and matching.
21614 其次，该方法以显著性分数为依据提取参考序列中的关键帧，缩小了跟踪模块的检索范围并提高了检索效率。 Secondly, key frames in the reference sequence are extracted based on the discrimination score to reduce the retrieval range of the tracking module and improve the efficiency.