rayleigh_shading

learning of initiation of matlab programm

说明：  无源雷达接收机的系统仿真设计，包含频率带宽等信号仿真(System Simulation Design of passive radar receiver, including signal simulation frequency bandwidth)

this matlab code is for harmonic analysis in power networks for beginners.

基于二叉树的多类分类器识别，是模式识别中的基础，对二叉树进行了描述。(Binary tree-based multi-classifier recognition, pattern recognition is based on the binary tree is described.)

这是一个SVM与ANN预测的代码，这个网站看起来不错，看起来不错(This is a prediction code of SVM and ANN. This website looks good and looks good.)

是图像处理中奇异值分解的代码，对图像处理很有用。(Is the singular value decomposition of the image processing code, useful for image processing.)

构造了一个无尺度的复杂网络,并计算出了其聚类系数的值(Construct a complex scale-free networks, and calculate the value of its clustering coefficient )

一个拟合椭圆的程序，采用matlab编程，利用均值误差作为代价函数。(A fitting elliptical procedures, the use of matlab programming, using the mean error as the cost function.)

说明：  matlab编写的[数据挖掘]分类算法Discrete_Bayes算法程序。(Matlab prepared by the [data mining] classification algorithm Discrete_Bayes algorithm way Preface.)

说明：  第6章 无约束一维极值问题 所在章节 函数名 功 能 6.1 minJT 用进退法求解一维函数的极值区间 6.2 minHJ 用黄金分割法求解一维函数的极值 6.3 minFBNQ 用斐波那契法求解一维函数的极值 6.4 minNewton 用牛顿法求解一维函数的极值 6.5 minGX 用割线法求解一维函数的极值 6.6 minPWX 用抛物线法求解一维函数的极值 6.7 minTri 用三次插值法求解一维函数的极值 6.8.1 minGS 用Goldstein法求解一维函数的极值 6.8.2 minWP 用Wolfe-Powell法求解一维函数的极值 (Chapter 6 unconstrained extremum problem one-dimensional sections of the functional 6.1 minJT function method for solving one-dimensional with the advance and retreat of the extreme range of 6.2 minHJ function of the golden section method using one-dimensional function of the extreme 6.3 minFBNQ use Fibonacci method one-dimensional function of the extreme 6.4 minNewton Newton method with one-dimensional function with extreme 6.5 minGX one-dimensional secant method to solve the extreme 6.6 minPWX function method for solving one-dimensional parabolic function of the extreme 6.7 minTri method with cubic interpolation one-dimensional function of the extreme 6.8.1 minGS Goldstein method with one-dimensional function of the extreme 6.8.2 minWP Wolfe-Powell method with a one-dimensional extreme value function)