Microstrip_Antenna

7.5 积分一步的变步长龙格-库塔法grkt2.c 7.6 积分一步的变步长基尔法ggil1.c 7.7 全区间积分的变步长基尔法ggil2.c 7.8 全区间积分的变步长默森法gmrsn.c 7.9 积分一步的连分式法gpbs1.c 7.10 全区间积分的连分式法gpbs2.c(7.5 Integral-step variable step-queue grid- Kutta method grkt2.c 7.6 Integral variable step by step Kiel France ggil1.c 7.7 points between the region variable step-size Kiel France ggil2.c 7.8 points between the region variable step-size Merson method gmrsn.c 7.9 integral step in continued fractions method gpbs1.c 7.10 points between the region' s continued fractions method gpbs2.c)

DCT BASED COMPRESSION

说明：  相关向量机（Relevance Vector Machine，简称RVM）是Micnacl E.Tipping于2000年提出的一种与SVM（Support Vector Machine）类似的稀疏概率模型，是一种新的监督学习方法。 它的训练是在贝叶斯框架下进行的，在先验参数的结构下基于主动相关决策理论（automatic relevance determination，简称ARD）来移除不相关的点，从而获得稀疏化的模型。在样本数据的迭代学习过程中，大部分参数的后验分布趋于零，与预测值无关，那些非零参数对应的点被称作相关向量（Relevance Vectors），体现了数据中最核心的特征。同支持向量机相比，相关向量机最大的优点就是极大地减少了核函数的计算量，并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method. Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)

matlab code for FDTD analysis in 3 dimension

partial differential equation by matlab

卡尔曼滤波，维纳滤波，介绍了一个算例，取得了良好的滤波效果(kalman filter)

系统辨识和自适应控制中极点配置直接自矫正控制(Direct from the poles corrective control in System identification and adaptive control)

this file gives the parameters of a model estimated from given data. this is usfull in estimationa and forecasting

岩体稳定性计算，裂隙岩体节理网络网格划分，用于有限元计算。应用于边坡，大坝等岩体结构工程！(Rock stability calculation, fractured rock joint network mesh for finite element calculations. Applied to the slope, dams and other rock structure works!)

二进制小数的除法计算，三个matlab代码(Calculation of the binary decimal division)