ID	原文	译文
8154	首先利用模式空间算法将均匀圆阵等效为虚拟均匀线阵,并利用贝塞尔函数的递推性质推导此种情况下阵列的旋转不变特性。	Firstly, the pattern space algorithm is used to change the uniform circular array is equivalent to a virtual uniform linear array, and use the recursive nature of the Bessel function derivation array rotation invariant features of such conditions.
8155	然后根据虚拟线阵的结构提出一种简便有效的子阵划分办法,在此基础上得出阵列的多重旋转不变方程,并利用多重最小二乘准则得出其完备解,从而完成对信号二维到达角的估计,仿真实验验证了算法的有效性。	Then according to the structure of the virtual array in this paper, a simple and effective submatrix method, based on the array of multiple rotation invariant equation, and by using multiple least-squares criterion, obtain the complete solution to complete two-dimensional doas estimation of signal, the simulation results verify the effectiveness of the algorithm.
8156	随着加速退化试验技术的不断进步,加速退化数据日趋复杂,可靠性评估理论和方法需要不断完善和发展。	Along with the advance of accelerated degradation test technology, accelerate the degradation data has become increasingly complex, reliability evaluation theory and method need to constantly improve and develop.
8157	可靠性建模与统计分析是可靠性评估的两大核心问题,从这两方面对基于加速退化数据的可靠性评估技术进行综述,重点阐述了性能退化建模、加速退化建模、失效机理一致性辨识等关键问题,提炼了基于加速因子不变原则进行加速退化数据可靠性评估的新思路,展望了未来的研究重点和发展前景。	Reliability modeling and statistical analysis of reliability assessment are two core problems, from the two aspects of the reliability evaluation technology based on accelerated degradation data were reviewed, focusing on modeling, accelerate the degradation of performance degradation model, identify key issues, such as the failure mechanism of consistency refining the principle based on the acceleration factor constant accelerated degradation data reliability assessment of new ideas and prospects the future research focus and development prospects.
8158	研究工作对完善加速退化数据可靠性评估理论和方法,提高评估准确性具有一定的指导意义。	Research work to improve the accelerated degradation data reliability evaluation theory and method, has certain guiding significance to improve the evaluation accuracy.
8159	为了解决模糊图像超分辨率重建的问题,将分数阶微积分和凸集投影相结合,实现图像的超分辨率重建。	In order to solve the problem of fuzzy image super-resolution reconstruction, the fractional order calculus and convex set projection, the combination of image super-resolution reconstruction.
8160	利用分数阶微分卷积获取原始参考帧,通过尺度不变特征变换(scale invariant feature transform,SIFT)配准,采用基于分数阶积分的点扩散函数,运用凸集投影,有效解决超分辨率算法对于模糊图像效果不好的问题,实现了对模糊图像的重建。	Fractional order derivative convolution is used to collect the original reference frame, through the scale invariant feature transform (scale invariant feature transform, SIFT) registration, the point spread function (PSF), based on fractional integral projection using convex set, effectively solve the super-resolution algorithm for fuzzy image result is bad, for the reconstruction of the blurred image is realized.
8161	实验表明,与常见的算法相比,基于分数阶微积分的凸集投影超分辨率重建算法在图像视觉效果和客观指标上均有较好的结果。	Experimental results show that, compared with common algorithms based on fractional order calculus of convex set projection super-resolution reconstruction algorithm on image visual effect and objective indexes have good results.
8162	特别是在图像模糊的情况下,基于稀疏表示的或轮廓模板的算法会增加图像的模糊程度,而所提算法在主观清晰度方面有明显的提高。	Especially in the case of blurred images, or outline template algorithm based on sparse representation can increase the fuzzy degree of images, the proposed algorithm has obvious increase in subjective definition.
8163	针对组网跳频信号在欠定条件下网台分选效果不佳的问题,提出了一种基于稀疏成分分析(sparse component analysis,SCA)的欠定跳频网台分选方法。	In view of the network frequency hopping signal in underdetermined conditions of net station sorting problem, proposed a based on sparse component analysis (sparse component analysis, SCA) underdetermined fh network station sorting method.