ID 原文 译文
26715 然后研究一种基于二元假设检验的成像方法，依据最大信噪比原则构造检验统计量，该统计量依赖于空间位置信息，通过对成像区域中的每个位置进行检测，可实现空间分辨，获得成像结果。 Then study a kind of imaging method based on binary hypothesis test, the test statistics according to the principle of maximum signal-to-noise ratio structure, the statistic relies on the spatial location information, for each position of the area of the imaging tests, which can realize spatial resolution and obtain imaging results.
26716 接着详细分析该方法在多径散射环境中的性能，并在模拟多径环境中采用地面数字电视信号对成像方法进行仿真实验验证。 Then a detailed analysis of the method in performance in multipath scattering environments, and to simulate the multipath environments of the imaging method by terrestrial digital TV signal simulation experiment.
26717 理论分析和实验结果表明，采用空间可分辨的检验统计量形成图像可以正确重建目标，并且可利用多径效应进行成像。 Theoretical analysis and experimental results show that the space can distinguish the test statistic form the target image can be correctly reconstruction, and available for the multipath effect for imaging.
26718 数据传输的及时性保障是航空电子全双工交换式以太网(avionics full duplex switched Ethernet，AFDX)中最主要的挑战。 The timeliness of data transmission security is avionics full duplex switched Ethernet (avionics full duplex switched Ethernet, AFDX) in the main challenge.
26719 不同业务流有不同的实时性需求，因而提出一种高低优先级调度策略，通过随机型网络演算方法，推导出在某一概率下业务流端端时延的上界值。 Different business flow have different real time requirements, therefore a high and low priority scheduling strategy is put forward, by the method of random network calculus, under a certain probability is deduced on the hounds of the traffic flow end to end delay.
26720 最后，在Simevent中搭建一个AFDX仿真案例，所提方法计算得到的时延上界与仿真结果相匹配，比传统计算方法更准确有效，同时也表明高低优先级调度有助于提高紧急数据的及时性。 Finally, in Simevent structures, an AFDX simulation case, the proposed method to calculate the upper bound of time delay and the simulation results match, more effective than traditional calculation method is more accurate, at the same time also shows that the high and low priority scheduling helps to improve the timeliness of emergency data.
26721 针对传统图像放大算法对边缘区域划分不准确造成图像质量较低，而自适应插值放大方法模型复杂且计算量大的问题，提出一种基于阈值判断的区域指导(area-directed threshold-judgment，ADT)插值算法。 In view of the traditional algorithms of image magnification of marginal division caused by inaccurate image quality is low, and adaptive interpolation amplification method model is complex and the problem of large amount of calculation, put forward a kind of regional guidance based on threshold judgment (area - directed threshold - judgment, ADT) interpolation algorithm.
26722 该算法利用阈值判断的方法对插值点周围进行区域划分，结合近邻法和众数法确定插值点所属区域，根据插值点类型不同，利用不同权值大小的线性插值公式实现自适应插值，提高图像质量。 The algorithm by using the method of threshold value judgment of the interpolation point around division, combined with the nearest neighbor method and the method to determine the area of interpolation points, according to the type of interpolation points is different, with different weights of the size of the linear interpolation formula to realize the adaptive interpolation, improve image quality.
26723 仿真测试结果表明，与基于协方差的自适应插值算法相比，ADT算法在图像质量降低不显著的前提下，能显著提高插值速度；与双线性插值算法相比，图像峰值信噪比平均增加2.19dB。 The simulation test results show that compared with the adaptive interpolation algorithm based on covariance, ADT algorithm in image quality under the premise of decrease was not significant, can significantly improve the interpolation speed;Compared with the bilinear interpolation algorithm, image peak signal to noise ratio of the average increase of 2. 19 dB.
26724 针对合成孔径雷达(synthetic aperture radar，SAR)目标识别问题，提出一种基于贝叶斯压缩感知(Bayesian compressive sensing，BCS)的图像域SAR目标识别方法。 For synthetic aperture radar (synthetic aperture radar, SAR) target recognition problem, put forward a kind of based on Bayesian compressed perception (Bayesian compressive sensing, BCS) image domain SAR target recognition method.