mimo_waterfilling

matlab在线性规划中函数的简单应用。(matlab online planning applications in a simple function)

Example codes for latiiic boltzmann

说明：  实现特征波长的提取，连续投影算法可以实现特征光谱信息，结合PCA实现样品分类(Realize the extraction of characteristic wavelength)

配合刚刚上传的TOOLBOX_calib,是进行标定的标定图(With just uploaded TOOLBOX_calib, calibration is the calibration graph)

机器人避障的matlab仿真实现，有源码，有动画效果(Robot obstacle avoidance realize the matlab simulation, has source, has animation effects)

雅克比迭代用于计算方程组的数值解。精度比较高。(jacobi)

用Remez算法设计一个低通滤波器；设计一个5路5:1多相减采样滤波器和一个4路1:4多相增采样滤波器。(Remez algorithm with a low-pass filter designed by a 5-way multi-phase sampling filter and 5:1 4 1:4 a multi-phase sampling filter increases.)

DigiPic 函数主要功能是将一个图片形式的表格函数,获取其数据,拟合为一个解析式. 便于计算机使用 DigiPic功能描述 在matlab 2013a运行环境下,启动DigiPic 首先,导入要分析的图表照片 取点建立坐标系,坐标系在取点时同时输入对应的实际坐标值, 拖拽坐标点使其位置在图片上尽量准确,便于后面坐标的自动计算. 按右键完成坐标系的建立. 在图片上原函数图线处取点.同时自动计算函数值 在拟合页,导入函数数据.选择相应的拟合函数.自动计算出最佳参数. 在拟合前,可人工在函数列表中修改,设定参赛,使计算更快. 选择保存目录,保存数据.数据以excel文件保存,图片和数据文件最好放在一个目录里. excel文件数据可直接在其它分析软件中使用. 打开原分析文件时,可同时打开多个.( DigiPic function main function is to form an image in the form of a function, to get their data, fitting of an analytical style. To facilitate computer use DigiPic Description operating environment in matlab 2013a, start DigiPic First, import to be analyzed Charts Photos access point to establish a coordinate system, the coordinate system at the access point simultaneously enter the actual coordinate values ​ ​ corresponding to the coordinates of the point drag on the image to make it as accurate as possible location, easy to automatically calculate the coordinates back. completed by the right coordinates established. Uehara function graph in the picture at the access point. while automatically calculated in the fitting function value page data import function. choose the appropriate fitting function. automatically calculate the optimal parameters. before fitting, artificial modification in the function list, set the entry to make computing faster. choose to save)

产生M序列并求其自相关，以及矩形成形和SA函数成形时的自相关(M sequency)

The Runge Kutta algorithm programmed in matlab