ID 原文 译文
20265 但是模糊因子的引入，使得任意一个样本点都存在模糊性，造成FCM极易受到噪声和离群点的影响，聚类结果泛化性能较差。 However, fuzzy logic makes observations could belong to more than just one cluster, which results FCM is especially sensitivity to the noisy and outlier and has poor generalization performance.
20266 因此，该文提出一种簇间可分的鲁棒FCM算法(RBI-FCM)。 So a Rrobust Fuzzy C-Means clustering integrated Between-cluster Informationalgorithm (RBI-FCM) is proposed.
20267 RBI-FCM利用K均值算法对模糊隶属度的稀疏特征，降低不同数据簇之间的相互作用，突出不同数据簇相邻区域的可分性； Taking advantage of the sparsity of K-means, RBI-FCM helps to reduce the interactions among different clusters and improve the separability of sample points which locate in the adjacent domains of different clusters.
20268 另外，RBI-FCM在极小化数据簇内部散布度的条件下，考虑不同数据簇之间的可分性，可提高聚类模型的泛化性能。 Beside minimizing the inner-cluster scattering condition, RBI-FCM considers thebetween-cluster information. The generalization performance of RBI-FCM can be improved.
20269 该文设计了有效的模型求解迭代算法。 An effective iterative algorithm for solving the model is designed in this paper.
20270 实验结果表明，RBI-FCM算法提高了FCM的鲁棒性，有效降低FCM对数据簇分布差异性和抽样不均衡的敏感性，得到理想的聚类结果。 The experimental results show that the RBI-FCM improves the robustness of FCM and reduce effectively its sensitivity to size-imbalance and differences onthe distribution of clusters of FCM.
20271 频谱弥散(SMSP)干扰与线性调频雷达信号之间存在大量的时频域耦合，干扰效能突出。 The great clustering result is obtained. SMeared SPectrum (SMSP) jamming has lots of coupling in time and frequency domain with Linear Frequency Modulated (LFM) radar signals, which has good jamming performance.
20272 该文提出一种信息域的抗SMSP干扰的信号处理算法， This paper proposes a signal processing method for countering SMSP jamming in information domain.
20273 根据SMSP干扰信号的形式与特点，通过自适应改变压缩感知的干扰基字典，同时匹配雷达信号与干扰信号的调频率，构建压缩感知求解模型并基于凸优化算法完成信号重构， According to the formulation and characteristics of SMSP signal, the jamming dictionary is changed automatically, the frequency modulation rate of LFM and SMSP signal is matcheal at the same time, the compressed sampling model is consructed and reconstruction of signal is carried out based on convex optimization.
20274 最终实现干扰信号的识别及雷达信号的提取。 Finally, the recognition of jamming signal and extraction of radar signal are achieved.