MATLAB-Introduction

利用matlab采用最小二乘法很好的实现了振动阻尼的数值求解(Least square method using matlab realize very good vibration damping of the numerical solution)

该源码为matlab6.5图形图像处理书籍的配套资料。(The source code for the graphic image processing books matlab6.5 supporting information.)

基于fdtd的双导线传输模型，在matlab中运行(Two wire-based transmission model fdtd, run in matlab)

说明：  分为三个函数，第一个函数的功能是用于读取ecg信号，找到小波变换模极大序列；第二个函数是子程序，用于多分辨率分解，使用 A trous 算法在分解的过程中，同时给出各级的细节和概貌，它们和原数据有着同样的长度；第三个函数是函数子程序，用于多分辨率分析中的重建。(Divided into three functions, the function of the first function is used to read the ecg signal, find the wavelet transform modulus maxima sequence second function is a subroutine for use in multi-resolution decomposition, the decomposition algorithm using A' trous process, and gives details of all levels and profiles, they are the original data have the same length third function is a function subprogram, for multi-resolution analysis of the reconstruction.)

用matlab中simulink做的非均匀量化信源编码系统图，可以对比量化前后波形图(simulink )

The Support Ve ct or Machi ne So fa r we have used a reference as sumpt ion tha t there exists a linear classifier that has a larg e ge ometric margin, i.e., whose decision b oundar y is we ll separa ted from all the training images (e xamples). Such a larg e margin classifier seems like one we would like to use. C an’t we find it more directly? Yes, we can. The clas sifier is known as the Support Ve ctor M achine or SVM for short.

这是使用RBF进行分类的matlab代码(This is done using RBF classified matlab code)

助推滑翔伪谱方法优化算例, 分多段进行轨迹优化，考虑的多种约束情况 (boost-slide trajectory optimization)

说明：  Permanence脉冲微分方程程序用matlab模拟种群的灭绝和持续生存(Permanence Impulsive Differential Equation Program Using matlab to Simulate the Extinction and Persistence of Population)

说明：  抛物线法求解 方程的构造方法:给出[0,1]区间上的随机数(服从均匀分布)作为方程的根p*. 设你的班级数为a3,学号的后两位数分别为a2与a1,从而得到你的三次方程 例如:你的31班的12号,则你的方程是21x3+60x2+2x+a0=0的形式. 方程中的系数a0由你得到的根p*来确定. (parabolic equation method Construction Methods : given interval [0,1] on the random number (subject to uniform distribution) as the root equation p*. set up your classes at a3, after learning of the double-digit for a1 and a2, so you get the three equations for example : your 31 classes on the 12th, then your equation is 21x3 60x2 2x a0 = 0 forms. the equation coefficients a0 you get from the root of p* to determine.)