electronic-simulation

说明：  灰色预测模型是一种模糊预测算法，可以对信息不完全的或不知发展规律的变量进行预测(Gray prediction model is a fuzzy prediction algorithm, you can not know or incomplete information to predict the development of the law of variable)

Logitboost 是一种改进的boostingg算法，可以用作参考 ， (Logitboost an improved boostingg algorithm can be used as a reference,)

用实例演示如何在matlab中调用c++，适用于初学者，很好的例子(With examples demonstrate how to call c++ in matlab for beginners, a good example)

现代信号处理 卡尔曼滤波matlab仿真程序(Kalman algorithm ，Modern signal processing)

对文件夹中的文件自动编号或恢复为旧文件名。当然，经过小的修改，也可完成其他批量修改文件名的功能，如批量修改后缀名等等。利用MATLAB的GUI技术，做了个界面，方便用户使用(Automatic numbering files in the folder or revert to the old file name. Of course, after minor modifications, to be completed by the functions of the other batch change file names, such as batch modify the extension. MATLAB GUI technology, made the interface, user-friendly)

这是一本全面介绍MATLAB建模与仿真的书籍，很难找的，在学校图书馆找到的，赶紧下(This is a comprehensive introduction to modeling and simulation of MATLAB books, hard to find in the school library to find and quickly under)

基于LBM圆柱绕流模拟matlab程序代码，简单几行代码就可以实现圆柱绕流的可视化模拟，而且还是实时的，采用D2Q9模型，适合初学者学习。(Circular cylinder based on the LBM simulation matlab program code, a simple few lines of code can achieve circular cylinder visual simulation, but also real-time using D2Q9 model, suitable for beginners to learn.)

有关matlab的图像处理课件，供初学者学习参考。(Matlab image processing related courseware for beginners to learn information.)

最小生成树prim算法，Dandn文件给出了输入参数的名称及格式即在调用prim前先输入邻接矩阵D和节点个数n输入prim得到两行的矩阵T,将上下两行数字对应的节点相连即可(Prim algorithm for minimum spanning tree, Dandn document gives the name and format of the input parameters that is called prim before Input adjacency matrix D and the node number n input prim to be two lines of the matrix T, the upper and lower figures correspond to two lines of nodes connected to can)

关于信号处理方面音效移频中解析信号的产生方法，该方法让人耳目一新，通过先设计频域，再求逆，时域上进行采样，得到两个FIR滤波器逼近希尔伯特变换器。(Aboat an efficient method of analytical signal generation in audio frequency shift.This method refreshing, first design in the frequency domain, then sampling in the time domain, getting two FIR filters approximate Hilbert transform.)