matlab-masterpiece

说明：  (1) 打开一个bmp文件 (2) 将其局部区域的灰度值进行改变 (3) 另存为一个新的bmp文件 ((1) open a bmp file (2) the gray value of its local area to change (3) Save as a new bmp file)

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)

poisson过程的分布及其自相关函数，方差函数，平均值(poisson process distribution and autocorrelation function, variance function, average)

说明：  AM信号的生成多种方式去噪,小波变换，自适应滤波器，SVD去噪(AM signal to generate a variety of ways denoising, wavelet transform, adaptive filters, SVD denoising)

用matlab编写的整数规划的程序。包括：用割平面法求解整数规划，用分支定界法求解整数规划，用枚举法（包括穷举法和隐枚举法）求解0－1规划(integer programming)

gps信号的跟踪环程序 可以实现最基本的载波环跟踪功能(gps signal tracking loop program can achieve the most basic function of the carrier tracking loop)

MATLAB program for parallel port accessing with PC

125k RF card em4100 information

主要完成RLS自适应均衡，并且给出了与LMS算法的比较(Completed for RLS adaptive equalizer, and gives the comparison with the LMS algorithm)

k-means 算法接受输入量 k ；然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。(k-means algorithm accepts input k then n data objects into k clusters in order to make clustering satisfy obtained: the objects in the same cluster high similarity different clustering object similarity small. Cluster similarity is the use of the mean of each cluster of objects that get a " central object" (center of gravity) to perform the calculation.)