ID 原文 译文
39026 提取消息时，量子索引图像每个像素颜色值分量和的奇偶性即为嵌入的消息，属于盲提取算法。 When the message is extracted, the parity of each pixel color value component sum in the quantum indexed image is the message bit, and this is a blind extraction algorithm.
39027 此方法可在未来量子计算机上执行。 This method can be performed on future quantum computers.
39028 根据经典计算机上的仿真结果从视觉质量、嵌入容量、鲁棒性和安全性4个方面验证了该方法的有效性。 According to the simulation results on a classical computer, the validness of this method is verified from 4 aspects: visual quality, embedding capacity, robustness and security.
39029 为充分挖掘行人重识别特征，最近流行的PCB算法给出了一种特征均匀分块并通过RPP网络对齐特征的方法。PCB算法充分发挥了局部特征的作用，有效提高了行人重识别的准确率。 In order to fully exploit the features of any input image for person re-identification(Re-ID), part-based convolutional baseline(PCB) was proposed to employ a uniform partition for any input image and a refined part pooling(RPP) method is followed for enhanced within-part consistency.
39030 为进一步提高行人重识别的性能，本文基于全局特征与局部特征对网络性能的影响差异提出了一种特征加权的PCB行人重识别算法。 In order to further improve the performance of Person Re-ID, this paper proposes a weighted PCB algorithm, which combines the global feature and local part-based features in a weighted form.
39031 在典型的行人识别数据库Market1501、DukeMTMC-Reid上的实验结果表明:所提算法具有更好的首中准确率(Rank1)和平均准确率(mAP); Experiments show that the proposed algorithm is better than other weighted methods. Experiments over Market1501 and DukeMTMC-Reid show that the proposed algorithm can achieve better performance in both the Rank1 accuracy and the mean average accuracy(mAP).
39032 相比于经典的PCB+RPP算法，所提算法在Market1501数据集上Rank1提高了0.8%，mAP提高了4.5%; Compared with the PCB+RPP algorithm, the proposed algorithm provides a margin of 0.8% and 4.5% over Market1501 for Rank1 and mAP, respectively.
39033 在DukeMTMC-Reid数据集上Rank1提高了5.5%，mAP提高了约7%。 For the dataset of DukeMTMC-Reid, it improves PCB by 5.5% in Rank1 accuracy and by about 7% in mAP.
39034 针对非合作通信中循环前缀线性调频信号频率估计范围小的问题，提出了一种宽范围高精度的频率估计算法。 A wide range and high precision frequency estimation algorithm is proposed to solve the problem of small frequency estimation range of cyclic prefix linear frequency modulated signal in non-cooperative communication.
39035 该算法首先利用循环前缀的相关性确定符号周期起点，然后利用部分线性调频信号匹配相关确定接收信号的零频达到时刻，根据两者的时延差得到大范围频偏粗估计。 Firstly, the algorithm uses the correlation of cyclic prefix to determine the starting point of the symbol; Then, the partial linear frequency modulated signal matching correlation is used to determine the time of the zero frequency position in the received signal, and then uses the time difference between the two to get a wide range of frequency estimation.