ID 原文 译文
19425 该方法具有高时频分辨率，但在交叉项、高副瓣以及频谱混叠问题上存在缺陷。 However, this method has defects in cross terms, high sidelobes, and spectralaliasing problems.
19426 该文提出一种名为空间变迹重排Wigner-Ville分布(SVA-rWVD)的时频分析方法，结合空间变迹技术(SVA)的副瓣抑制能力及短时傅里叶变换(STFT)的无混叠无交叉项特性，得到一个新的时频分布。 To solve these problems, a time-frequency analysis method called Spatially VariantApodiztion-rearrange Wigner Ville Distribution (SVA-rWVD) is proposed, which achieves low sidelobes by exploiting the Spatially Variant Apodization (SVA) techniques, and avoids the cross terms and the spectral aliasing problems by applying the Short Time Fourier Transform (STFT). Furthermore, a new time-frequencydistribution is obtained from the proposed method.
19427 基于单分量和多分量线性调频信号的仿真实验结果表明，该方法得到的时频分布可以降低副瓣水平至–40 dB以下同时消除交叉项及频谱混叠现象。 Extensive simulations show that the time-frequencydistribution obtained by the proposed method not only reduces the sidelobe level to –40 dB but also eliminatescross terms and spectral aliasing for both single-component and multi-component chirp signals.
19428 模糊C均值(FCM)聚类算法及其相关改进算法基于最大模糊隶属度原则确定聚类结果，没有充分利用迭代后的模糊隶属度矩阵和簇类中心的样本属性特征信息，影响聚类准确度。 With the attribute feature information of the fuzzy membership matrix and cluster centers after the iteration not fully utilized, the results of Fuzzy C-Means (FCM) Clustering and related modified algorithms are determined based on the principle of maximum fuzzy membership, causing bad influence on the clustering accuracy.
19429 针对这个问题，该文提出一种新的改进思路：改进FCM算法输出定类原则。 To solve this problem, the improvement ideas are proposed: to improve classification principle ofFCM.
19430 给出二元属性拓扑子空间中属性相似度的定义，最终提出一种基于属性空间相似性的改进FCM算法(FCM-SAS)：首先，选择FCM算法聚类后模糊隶属度低于聚类置信度的样本作为存疑样本； The formula definition of attribute similarity in binary topological subspaces is given. Then, the improved FCM algorithm based on the Similarity of Attribute Space (FCM-SAS) is proposed: First, samples with fuzzy membership degree lower than the clustering reliability are selected as suspicious samples.
19431 然后，计算存疑样本与聚类后聚类中心的属性相似度；最后，基于最大属性相似度原则更新存疑样本的簇类标签。 Next, the attribute similarity between the suspicious samples and the cluster centers after clustering are calculated. Finally, cluster labels of suspicious samples based on the principle of maximum attribute similarity are updated.
19432 通过UCI数据集实验，证明算法不仅有效，还较一些基于最大模糊隶属度原则定类的改进算法具有更优的聚类评价指标。 The validity and superiority of the proposed algorithm is verified by the UCI sample set experiments andcomparisons with other modified algorithms based on the principle of maximum fuzzy membership.
19433 转发式密集假目标干扰通过在距离维上产生多个虚假目标，扰乱雷达对真实目标的检测与识别。 Forwarding dense false target jamming disturbs the detection and recognition of real targets by generating multiple false targets in the range dimension.
19434 由于虚假回波信号与真实信号高度相关，雷达很难对其进行有效识别和抑制。 Because the false echo signal is highly correlated withthe real signal, it is difficult for radar to recognize and suppress it effectively.