ID	原文	译文
2803	我们也计算了这些像码的对偶码的极小距离。	We also calculate the minimum distance of the dual codes of the image codes.
2804	最后对扩域上迹码的像在秘钥共享方案中的应用进行了刻画。	Finally, an application of the Gray imagesof trace codes over the extended fields to secret sharing schemes is described.
2805	由于光流场既包含物体的运动信息，又包含场景的三维结构信息，因此光流计算技术是计算机视觉和机器视觉领域研究的重要任务之一。	Because the optical flow field contains both the motion information of the object and the three-dimensional structure information of the scene, optical flow calculation technology is one of the important tasks in the field of computervision and machine vision.
2806	针对现有光流计算方法在图像边缘保护方面存在过度平滑问题，提出一种基于相互结构引导滤波的 TV-L1(Total Variational with L1 norm，TV-L1)变分光流估计方法。	But, for the existing optical flow methods, there is over-smoothing problem in image boundary preserving. This paper proposes a global TV-L1(Total Variational with L1 norm, TV-L1)variational optical flow computa-tion method based on the mutual-structure guided filtering.
2807	通过提取置信度较高的图像相互结构区域，构造基于相互结构引导滤波的全局目标函数，并采用金字塔分层细化与交替迭代方案结合的策略进行优化，该方法可以较好的保护图像边缘信息。	By extracting the mutual-structural regions of the image with higher confidence, we construct the global mutual-structure guided filtering objective function, and optimize the algorithm viacombining the pyramid layering strategy with the alternating iteration scheme.
2808	最后采用标准测试图像集对本文方法与现有代表性变分方法 LDOF(LargeDisplacement Optical Flow，LDOF)，CLG-TV(Combined Local-Global Total Variation，CLG-TV)，Classic + + ，NNF(NearestNeighbor Fields，NNF)以及深度学习方法 FlowNet2.0 进行对比，	This method can better preserve the image boundary information. Finally, we compare the proposed method with the existing representative variational methods LDOF(Large Displacement Optical Flow, LDOF), CLG-TV (Combined Local-Global Total Variation, CLG-TV), Classic + + , NNF(Nearest Neighbor Fields, NNF)and deep learning method FlowNet2. 0 by using standard test image datasets.
2809	实验结果表明本文方法具有较高的光流估计精度与鲁棒性，尤其对图像边缘保护具有显著的效果，并且在运动目标检测，机器人避障等方面具有一定应用前景。	The ex-perimental results demonstrate that the presented method has more accuracy and better robustness than the other evaluated methods, especially has the significant effect of boundary preserving in the areas, and it has application prospects in movingtarget detection, robot obstacle avoidance, and so on.
2810	为消除射频脉宽调制(Radio Frequency Pulse Width Modulation，RF-PWM)的特定谐波，本文提出了一种适用于全数字发信机(All-Digital Transmitters，ADTx)的多电平 RF-PWM 方法。	To eliminate the selective harmonics of radio frequency pulse width modulation (RF-PWM)signals, a no-vel multi-level RF-PWM method for all-digital transmitters (ADTx)is proposed.
2811	该方法利用多个自适应门限与相位调制信号实时比较，控制多个子脉冲的脉冲宽度，在基波分量加权之和正比于输入信号包络的前提下，使其特定谐波分量相互抵消。	This method compares the adaptive thresh-olds in real-time with the phase modulated signal, and controls the pulsewidth of the corresponding subpulses to make the se-lected harmonics cancel each other out and keep the weighted superposition of fundamental frequency components propor-tional to input envelope.
2812	和现有技术相比，该方法可显著降低 ADTx 的输出滤波要求，提高其宽频段性能。	Compared with the existing techniques, the proposed method can significantly relax the filtering re-quirements and improve the wideband performance of the ADTx.