varsour

一个横好的谱估计算法，AM ma 和arma模型，可以自动的选取。(A good cross-spectral estimation algorithm, AM ma and arma model selection automatically.)

单纯形法，求解线性规划问题的通用方法。这里给出其Matlab源程序(Simplex method for solving linear programming problems common method. Here are its Matlab source)

特征选择方法，用于降低数据维数，常见的一种特征筛选手段，可以从大量变量中筛选特征变量实现保留变量与目标之间的最大相关性(feature selection method for mRMR)

direct spread spectrum

本例为数字调制信号的制式识别仿真程序，matlab仿真源码(In this case the digital modulated signal format identifying simulation program, matlab simulation source code)

自适应滤波器的设计，包括LMS和RLS，两种方法，程序简单实用(Adaptive filter design, including LMS and RLS, two types of methods, procedures simple and practical)

matlab语言写的图像处理程序，各种滤波方法的程序(image processing programs,:all kinds of filter method program used by Matlab language)

README.TXT (this file) CLOUD_ARRAY.TIF is a synthetic test image. It contains a 5x5 pattern of identical, regularly-spaced cartoon clouds. This represents an ideal field of view in XY coordinates in order to study the effect of scanner field of view distortion. MODEL_LIDAR_AND_VALIDATE_TFORM.M is the MATLAB program. NOTE: This is a function M-file with a number of subfunctions inside. Refer to the comment lines for detailed explanation of how the program works.( Some images are geometrically distorted due to optics others due to nonuniform or curvelinear scan coordinates. Such distortions can be corrected using spatial transformations given the governing distortion geometry. This program demonstrates how to correct for nonuniform polar scan distortion using spatial transforms in MATLAB with the Image Processing Toolbox 3.1.)

matlab下可以直接使用的小程序 包括各种常用算法 对应书籍为《matlab宝典》 此为第四部分(matlab can be directly used for small programs include a variety of commonly used algorithms corresponding books as " matlab book" This is the fourth part)

Matlab中有很多根据多边形顶点计算多边形面积，对多边形涂色等函数，但是并没有对多边形顶点进行凸多边形排序问题，所以写了这个对可以构成凸多边形的顶点进行排序的算法。( 此子程序功能为逆时针排列多个可构成一个凸多边形的顶点 输入参数xv是这些顶点的横坐标集合 yv是这些坐标的纵坐标集合 返回的排列好的点的横坐标和纵坐标集合. 使用示例: [x y]=rangePolyponPoint([0 10 10 0],[0 10 0 10]) 输出结果为：x = [ 0 10 10 0], y = [ 0 0 10 10].)