| ID | 原文 | 译文 |
| 21575 | 新算法首先对网络建立图信号模型，然后基于节点域-图频域联合分析的方法，实现异常节点的检测和定位。 | The new algorithm first builds the graph signal model of the network, then detect the location of the outlier based on the method of vertex-domain and graph frequency-domain joint analysis. |
| 21576 | 具体而言，第1步是利用高通图滤波器提取网络信号的高频分量。 | Specifically speaking, the first step of algorithm is extracting the high-frequency component of the signal using a high-pass graph filter. |
| 21577 | 第2步首先将网络划分为多个子图，然后筛选出子图输出信号的特定频率分量。 | In the second step, the network is decomposed into a set of sub-graphs, and then the specific frequency components of the output signal in sub-graphs are filtered out. |
| 21578 | 第3步对筛选出的子图信号进行阈值判断从而定位疑似异常的子图中心节点。 | The third step is to locate the suspected outlier center-nodes of sub-graphs based on the threshold of the filtered sub-graphs signal. |
| 21579 | 最后通过比较各子图的节点集合和疑似异常节点集合，检测并定位出网络中的异常节点。 | Finally, the outlier nodes in the network are detected and located by comparing the set of nodes of each sub-graph with the set of suspected outlier nodes. |
| 21580 | 实验仿真表明，与已有的无线传感器网络中异常检测方法相比，新算法不仅有着较高的异常检测概率，而且异常节点的定位率也较高。 | Experimental results show that compared with the existing outlier detection methods in networks, the proposed method not only has higher probability of outlier detection, but also has a higher positioning rate of outlier nodes. |
| 21581 | 针对柔性拖曳阵转弯机动过程，在积累时间内阵形变化导致自适应波束形成性能下降的问题，该文提出一种基于时变阵形聚焦和降维处理的低复杂度鲁棒波束形成方法。 | The robust beamformer suffers performance degradation due to the distortion of towed array shape caused by the maneuverings of tow platform. To address this problem, a low complexity robust Capon beamforming method is proposed based on time-varying array focusing and dimension reduction. |
| 21582 | 首先，基于阵列Water-Pulley模型估计时变阵形，以基准阵形为参考采用预成导向方法对阵形进行聚焦，消除数据中阵形模型偏差； | First, the array shape is estimated sequentially using the array heading data based on Water-Pulley model. The Sample Covariance Matrix (SCM) at each recording time is focused to a reference array model via the STeeredCovariance Matrix (STCM) technique to eliminate the array model error. |
| 21583 | 然后，以阵形聚焦后数据协方差矩阵的共轭梯度方向矢量构成降维矩阵，构造大孔径阵列降维鲁棒Capon波束形成器。 | Then, the reducing transform matrixis formed based on the conjugate gradient direction vectors of the focused SCM. The reduced-dimension Capon beamformer is finally derived to calculate the spatial spectrum. |
| 21584 | 仿真结果表明：所提方法能够提高转弯机动拖曳阵波束形成输出信号-干扰噪声比(SINR)。 | The results of the simulations show that, the proposed method can improve the Signal-to-Interference-plus-Noise Ratio (SINR) of the beamforming during the maneuvering of towed array. |