机载雷达导论

串补的次同步振荡的研究及其仿真的论文十分好的东西(Research sub-synchronous oscillation)

Java SessionBean状态判断的例子，代码包中的两个实例，分别对无状态SessionBean和有状态SessionBean进行了演示，请注意，Home对象是EJB对象的制作生成库，该方法生成EJB对象,value参数用于计数器的初始化，在无状态会话Bean中不能带参数。定义CountBean接口，调用每一个EJB对象的count()方法，保证Bean正常被激活和钝化。

PowerWorld GIC潮流计算和稳定性分析，GIC分布(PowerWorld Simulator case about GIC)

对曲柄滑块机构的动力学分析（包含各点的受力及滑块的速度和加速度线图）(Dynamic analysis of crank connecting rod mechanism)

Mac平台上一款插件的Xcode源码，可实现防撤回和自动抢红包自动回复等功能。(The Xcode source code of a plug-in on the Mac platform can realize the functions of anti-withdrawal and auto-red packets auto-reply.)

关于关联向量机应用的最新文献！ 提出了一种核主元分析(KPCA)和关联向量机(RVM)相结合的组合建模方法。KPCA-RVM采用KPCA对原始自变量进行非线性变换并提取主成分,形成特征自变量 采用RVM,对KPCA变换后的样本数据进行回归建模,并根据模型的预报能力自适应的确定参与回归的最佳特征变量个数,消除冗余信息干扰,获得强非线性表达能力且预报性能良好的模型。并将KPCA-RVM应用于PTA装置对羧基苯甲醛(4-CBA)含量的软测量建模,结果表明该方法预测精度高于PCA-RVM和RVM。(A novel modeling method integrated KPCA with RVM was proposed. The kernel primary component analysis (KPCA) was employed to identify the principal components from the nonlinear transform data of independent variables, which were regarded as character variables. Regression between character variables and dependent variables was done based on RVM, and the optimal number of the character variables was adaptively determined according to the generalization performance of the regression model. Thus, KPCA-RVM meth...)

说明：  ui设计的基础资料，适合新手进行学习，附带讲解的PPT资料(UI design basic materials, suitable for beginners to learn, with explanation of the PPT materials)

COBOL实验源码，大家可以下载在主机环境上实验，内容比较多-Experimental COBOL source, you can download in the host environment experiments, the content more

本课件从量子力学的角度阐述了激光的产生和性质。(The courseware the perspective of quantum mechanics describes the emergence and nature of the laser.)

现代信号处理中谱估计在matlab中的使用，ICA（主分量分析）算法和程序，针对EMD方法的不足。( Modern signal processing used in the spectral estimation in matlab, ICA (Principal Component Analysis) algorithm and procedures, For lack of EMD.)