Wigner-Ville distribution and cross Wigner-Ville distribution of noisy signals

The Wigner-Ville distribution （WVD） and the cross Wigner-Ville distribution （XWVD） have been shown to be efficient in the estimation of instantaneous frequency （IF）. But the statistical result of the IF estimation from XWVD peak is much better than using WVD peak. The reason is given from a statistical point of view. Theoretical studies show that XWVD of the analyzed signal can be estimated from XWVD of the noise-contaminated signal. The estimation is unbiased, and the variance is equal to that of noise. In this case, WVD cannot be estimated from W-VD of the noise-contaminated signal. Therefore, higher SNR is required when WVD is used to analyze signals.     

Krylov subspace method based on data preprocessing technology

The performance of adaptive beamforming techniques is limited by the nonhomogeneous clutter scenario. An augmented Krylov subspace method is proposed, which utilizes only a single snapshot of the data for adaptive processing. The novel algorithm puts together a data preprocessor and adaptive Krylov subspace algorithm, where the data preprocessor suppresses discrete interference and the adaptive Krylov subspace algorithm suppresses homogeneous clutter. The novel method uses a single snapshot of the data received by the array antenna to generate a cancellation matrix that does not contain the signal of interest （SOI） component, thus, it mitigates the problem of highly nonstationary clutter environment and it helps to operate in real-time. The benefit of not requiring the training data comes at the cost of a reduced degree of freedom （DOF） of the system. Simulation illustrates the effectiveness in clutter suppression and adaptive beamforming. The numeric results show good agreement with the proposed theorem.     

Efficient combination rule of Dezert-Smarandache theory

The Dezert-Smarandache theory （DSmT） is a useful method for dealing with uncertainty problems. It is more efficient in combining conflicting evidence. Therefore, it has been successfully applied in data fusion and object recognition. However, there exist shortcomings in its combination rule. An efficient combination rule is presented, that is, the evidence＇s conflicting probability is distributed to every proposition based on remaining the focal elements of conflict. Experiments show that the new combination rule improves the reliability and rationality of the combination results. Although evidences conflict another one highly, good combination results are also obtained.     

Research on consistency measurement and weight estimation approach of hybrid uncertain comparison matrix

The consistency measurement and weight estimation approach of the hybrid uncertain comparison matrix in the analytic hierarchy process （AHP） are studied. First, the decision-making satisfaction membership function is defined based on the decision making＇s allowable error. Then, the weight model based on the maximal satisfactory consistency idea is suggested, and the consistency index is put forward. Moreover, the weight distributing value model is developed to solve the decision making misleading problem since the multioptimization solutions in the former model. Finally, the weights are ranked based on the possibility degree approach to obtain the ultimate order.     

Indirect adaptive fuzzy control for a class of nonlinear discrete-time systems

An indirect adaptive fuzzy control scheme is developed for a class of nonlinear discrete-time systems. In this method, two fuzzy logic systems are used to approximate the unknown functions, and the parameters of membership functions in fuzzy logic systems are adjusted according to adaptive laws for the purpose of controlling the plant to track a reference trajectory. It is proved that the scheme can not only guarantee the boundedness of the input and output of the closed-loop system, but also make the tracking error converge to a small neighborhood of the origin. Simulation results indicate the effectiveness of this scheme.     

多群体优良模式自学习遗传算法

针对经典遗传算法存在的问题,提出了多群体优良模式自学习遗传算法.引入了迁移与学习算子,以提高遗传算法的有效性与收敛性.通过对Goldstein和Price函数的优化计算,说明了该方法具有良好的全局搜索能力和较快的收敛速度.     

特大规模组合电路测试数据产生方法研究

针对特大规模组合电路和全扫描设计电路提出了一种高速测试生成方法。该方法采用有限回溯测试模式产生方法生成测试码,采用ｎ（机器字长）个测试码并行的单故障传播方法模拟验证测试覆盖。测试生成与故障模拟为ｎ对１紧耦合集成方式。该方法运行１０个Ｂｅｎｃｈｍａｒｋ电路,取得了低测试长度、高故障覆盖、高效率的良好效果。     

季冻区隧道冻胀力影响因素交互性及敏感性正交试验分析

为探究影响季冻区隧道衬砌冻胀力各个因素的交互性及敏感性,依托承担冬奥会人员转运工作的延崇高速主线翠云山隧道,通过建立ANSYS数值模型,对冻胀率、冻融圈厚度、衬砌弹性模量等冻胀力影响因素进行了正交试验。研究结果表明：(1)考虑各个因素对冻胀力的影响时可只考虑其主效应。(2)融圈厚度、冻胀率、衬砌弹性模量、冻结围岩弹性模量以及未冻结围岩弹性模量均对冻胀力的影响较为显著;各因素敏感性排序为：冻结围岩弹性模量>冻胀率>未冻结围岩弹性模量>冻融圈厚度>衬砌弹性模量。(3)相比于原始参数,实验最优参数各部位冻胀力均有所减小且降幅均超过30%,最小降幅发生在拱顶为34.20%,并据此提出了控制冻胀力的措施,为河北地区季冻区隧道建设提供指导。     

宁夏大学学生体质现状与对策研究

采用文献资料法、实验法和数理统计法,对宁夏大学在校17 077名男女学生进行体质测试的6项指标进行统计、分析.结果发现：一、二年级学生的体质状况良好,四年级学生的体质状况令人担忧.在此基础上,分析了大学生体质健康的发展基本规律：在身体形态方面,随着年龄的增长,身高、体重呈上升趋势;在身体机能与素质方面,随着年龄的增长,呈下降趋势.并在保证学生充足的体育活动时间,学校和家庭应加大对学生健康的投入,加强对学生健身意识和知识的教育,重视毕业生的身体健康状况等方面提出了相应的对策.     

产业结构高级化对农村聚落生态系统的影响

运用土地利用动态度、协整分析等方法,对1980—2020年中国产业结构高级化和农村聚落生态系统时序演化特征及协整关系进行探析。主要结论如下：（1）区域产业结构高级化主要从资金、技术、人才等方面对农村聚落生态系统产生影响;（2）农村聚落生态系统动态度大致经历了1980—2005年的变化微弱期、2005—2010年前后的中间下降期和2010—2020年的快速上升期;（3）1980—2020年,各省（区、市）产业结构高级化指数不断提高,产业结构体系不断优化,东部地区的产业结构高级化水平一直高于中西部地区;（4）93.55%的省（区、市）产业结构高级化和农村聚落生态系统规模的相关系数大于0.7,且至少通过了5%的显著性检验,表明二者存在显著的正相关性;（5）产业结构高级化和农村聚落生态系统之间存在协整,呈现长期均衡关系,且长期弹性为0.829。