SinFm-spandcj

this Matlab model to implement MPPT(Max Point Power Tracing) .

next xhapter on digital communication basics, lot of basic stuffs available

commande of the photovoltaique system with mppt

通信系统仿真--具有瑞利分布的随机序列，pn序列及其他仿真程序(Communication System Simulation- Rayleigh distribution with the random sequence, pn sequence and other simulation program)

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)

用matlab仿真的空时分组码在OFDM下的实现(Matlab simulation using space-time block codes in OFDM to achieve under the)

This file is about vertical handover

说明：  基追踪（BP）算法的主要目标是寻找欠定方程的解，转换成线性规划问题，这里是BP算法的实现(Atomic Decomposition by Basis Pursuit)

Algorithms for empirical mode decomposition

30~50MHz的matlab设计程序，给出了响应曲线并给出了滤波实例(30 ~ 50MHz of matlab design procedures are given response curve and gives examples of the filtering)