ID 原文 译文
16815 然后利用循环迭代的方法，将优化问题转化成两个子优化问题； Subsequently, an iterative algorithm is developed.
16816 最后基于ADMM方法消除等式约束，并通过最小化2阶2次近似优化问题获得发射波束的闭合解。 Concretely, at each iteration, the transmit beamforming matrix is optimized by employing ADMM method and the quadratic approximation algorithm.
16817 此外，也分析了该方法的计算复杂度。 Moreover, the computational complexity of the proposedalgorithm is discussed.
16818 仿真部分通过输出信干燥比(SINR)、发射和接收方向图验证了该方法的有效性。 Numerical simulations are provided to demonstrate the effectiveness of the proposedalgorithm.
16819 为提升对SAR图像乘性相干斑的抑制水平与边缘保护性能，该文提出了一种可自适应调节滤波强度(AFS)的SAR图像非局部平均(NLM)抑斑新算法(AFS-NLM)。 A new Non-Local Means (NLM) despeckling algorithm (AFS-NLM) with Adaptive Filtering Strength(AFS) is proposed to improve the performance of reducing multiplicative speckle and preserving the edges inSAR images.
16820 该算法利用Frost滤波图像计算的局部均值与方差来改善SAR图像场景参量的估计，形成了一种能更好刻画SAR图像同质区与边缘区的改进Kuan滤波系数。 A modified Kuan filtering coefficient which can better characterize the homogeneous and edge regions of SAR image is formed by using the local mean and variance calculated in the Frost filtered image to improve the estimation of SAR image scene parameters.
16821 利用局部均值比与改进Kuan滤波系数分别作为新的相似性测量参量与自适应衰减因子，构建了一种更适应SAR图像乘性噪声特性的改进NLM滤波。 An improved NLM which adapts to the multiplicativenoise characteristics is constructed by the new similarity measurement parameter estimated by the local meanratio and the new adaptive decay factor estimated by the improved Kuan filtering coefficient.
16822 利用偏平滑参数与偏边缘保护参数控制下的改进NLM滤波，分别替代经典Kuan滤波模型中的像素局部均值与自身灰度值作为加权项，并采用由改进Kuan滤波系数构建的自适应调节因子对二者进行加权平均，从而形成了一种可自适应调节滤波强度的加权滤波新模型。 A new weighted filtering model which can automatically adjust the filtering strength is formed. In the new model, the improved NLM filters controlled by the skew smoothing parameters and the skew edge protection parameters are used to replace the local average value of pixels and the gray value of pixels in the classic Kuan filter model as weighting items, and the adaptive adjustment factor constructed by the improved Kuan filter coefficient is used to weight the two items.
16823 实验表明，该文算法与近期多种先进算法相比，具有更好的相干斑抑制与边缘保护性能。 Experimental results and comparisons with several advanced despeckling algorithms inrecent years show that the proposed algorithm has better speckle suppression and edge preservationperformance.
16824 混合连续类相比较于传统连续类模型弱化了阻抗条件，简化了宽带匹配难度。 Compared with the traditional continuous model, the mixed continuous model weakens theimpedance condition and simplifies the difficulty of broadband matching.