| ID | 原文 | 译文 |
| 7784 | 最后,通过仿真实例验证了模型的有效性。 | At last, the validity of the model is verified by simulation examples. |
| 7785 | 协作频谱感知(collaborative spectrum sensing,CSS)检测结果的上报尽管能够改善检测性能,但是也可能导致认知用户(secondary users,SU)产生较高的开销,同时引起对授权用户(primary users,PU)的干扰。 | Collaborative spectrum sensing (collaborative spectrum sensing, CSS) test results reported although can improve the detection performance, but also may lead to cognitive users (secondary users, SU) produce high overhead, at the same time cause for authorized users (primary users, PU) interference. |
| 7786 | 基于双门限能量检测的用户选择CSS策略,称为双门限最佳选择上报(double threshold best selection reporting,DTBSR)策略,意在减少SU的平均检测时间和提高频谱感知的性能。 | User to select the CSS based on double threshold energy detection strategy, best choice is called double threshold report (double threshold best selection reporting, DTBSR) strategy, aiming to reduce its SU average detection time and improve the performance of spectrum sensing. |
| 7787 | 单门限能量检测在受到噪声干扰后性能会严重下降,采用了基于最大比合并(maximum ratio combining,MRC)的双门限能量检测算法,通过考虑信息上报过程对PU产生的干扰,设计了在瑞利衰落信道下DTBSR策略与传统策略的虚警概率和检测概率表达式。 | Single threshold energy detection in noise performance will severely decreased, adopted based on the maximum ratio combining (maximum thewire, combining MRC) energy of double threshold detection algorithm, by considering the information reporting process of PU interference, designed the DTBSR under Rayleigh fading channel strategy and the traditional strategy of false-alarm probability and detection probability expressions. |
| 7788 | 仿真结果表明,与传统策略和最优选择上报策略相比,改进的策略能够提高检测性能并减少平均检测时间,并且还可以通过调节感知时间获得最小化漏检概率。 | The simulation results show that compared with the traditional strategy report and the optimal selection strategy, the improved strategy can improve the detection performance and reduce the average detection time, and also minimize missed detection probability can be obtained by adjusting the perception of time. |
| 7789 | 针对目前基于稀疏表示模型的图像超分辨率重建方法对于边缘、纹理等细节信息保持能力有限、易产生视觉伪影的问题,提出了基于稀疏表示和多成分字典学习的超分辨率重建算法。 | In view of the present model based on sparse representation of image super-resolution reconstruction method for details such as edge and texture information keeping ability is limited, easy to produce visual artifacts problem, was proposed based on sparse representation and multicomponent dictionary learning super-resolution reconstruction algorithm. |
| 7790 | 在字典训练阶段,所提算法在利用图像形态分量分析方法构造纹理和结构字典的基础上,为了有效地提取低分辨率图像特征细节信息,对图像结构分量采用一阶二阶导数进行特征提取,对纹理分量采用Gabor变换进行特征提取,并使用L1/2范数构造训练字典模型; | In dictionary training phase, the proposed algorithm USES the image morphological component analysis method, on the basis of structural texture and structure of the dictionary, in order to effectively extract the characteristics of low resolution image details, the image structure component with first-order second derivative, feature extraction, the texture component Gabor transform is adopted to improve the feature extraction, and the use of L1/2 norm dictionary structure training model; |
| 7791 | 而在重建阶段,为了消除重建图像块效应及模糊伪影,进一步提高重建图像的质量,采用全局约束和非局部相似性约束相结合的方法对重建高分辨率图像进行优化。 | And in the reconstruction phase, in order to eliminate the effects of reconstruction image block and blurring artifact, further improve the quality of reconstruction image, the combination of global constraints and the local similarity constraint of the optimization method of high resolution image reconstruction. |
| 7792 | 实验结果表明,该算法在重建图像主观和客观评价指标方面均有较好的表现。 | The experimental results show that the algorithm in the reconstruction image subjective and objective evaluation indicators are good performance. |
| 7793 | 针对天波雷达海杂波难以抑制且现有方法未充分利用先验知识的问题,提出基于知识的天波雷达海杂波抑制方法。 | For sky-wave LeiDaHai clutter is difficult to suppress method did not make full use of prior knowledge and the existing problems, put forward based on knowledge of sky-wave LeiDaHai clutter suppression method. |