kalman-simulink

时移门函数的傅里叶变换三维演示,可用于信号与系统的教学演示，增进对傅里叶变换的理解。(Sliding door when three-dimensional Fourier transform of the function demo, signals and systems can be used for teaching demonstration, enhance understanding on the Fourier transform.)

拉普拉斯残差金字塔在图像融合有着非常重要的作用，该程序是拉普拉斯金字塔在matlab中的应用(Laplace residual pyramid image fusion has a very important role in the program is the Laplace pyramid application in matlab)

说明：  分支定界法（branch and bound）是一种求解整数规划问题的最常用算法。这种方法不但可以求解纯整数规划，还可以求解混合整数规划问题。分支定界法是一种搜索与迭代的方法，选择不同的分支变量和子问题进行分支。 对于两个变量的整数规划问题，使用网格的方法有时更为简单。 [1] 通常，把全部可行解空间反复地分割为越来越小的子集，称为分支；并且对每个子集内的解集计算一个目标下界（对于最小值问题），这称为定界。在每次分枝后，凡是界限超出已知可行解集目标值的那些子集不再进一步分枝，这样，许多子集可不予考虑，这称剪枝。这就是分枝定界法的主要思路。(Branch and bound method is one of the most commonly used algorithms to solve integer programming problems. This method can solve not only pure integer programming but also mixed integer programming. Branch and bound algorithm is a method of search and iteration, which selects branches with different branch variables and sub problems. For integer programming problems with two variables, the grid method is sometimes simpler[ 1] Generally, all feasible solution spaces are divided into smaller and smaller subsets repeatedly, which is called bifurcation; And a lower bound of the objective (for the minimum value problem) is calculated for the solution set in each subset, which is called the bound. After each branch, those subsets whose bounds exceed the objective value of the known feasible solution set will not be further branched, so many subsets can not be considered, which is called pruning. This is the main idea of branch and bound method.)

一种新的快速esprit_DOA算法估计来波方向(a new fast algorithm esprit_DOA estimated to wave direction)

空时分组码中基本的Alamoutis算法，对比发射分集和不分集的情况下误码性能(Space-time block codes in the basic Alamoutis algorithm error performance, compared to the case of transmit diversity and non-diversity)

多机通信可靠性在matlab上的模拟实现(Simulation of multi machine communication reliability in matlab implementation)

条件独立的有监督朴素贝叶斯分类算法。参数估计，输入训练集和测试集，得到分类结果和分类准确率(naviebayes)

说明：  利用粒子群算法优化svm参数，得到高精度的svm模型(The parameters of SVM are optimized by particle swarm optimization (PSO), and the SVM model with high precision is obtained)

该模型用于搭建了一个基于时分割乘法器的电子式电能表的模型()

Matlab ------------------------------------------------------------------------- Function: [class,type]=dbscan(x,k,Eps) ------------------------------------------------------------------------- Aim: Clustering the data with Density-Based Scan Algorithm with Noise (DBSCAN) -------------------------------------------------------------------------