lehmer_rng

本程序主要实现图像的骨架化。细化和骨架化操作是把区域的面宽度缩到最小，即单像素宽度，也就是把物体变细，直到现最小的像点连通性。(The main procedures of the skeleton of the image. Refinement and skeleton operation the face width of the region is reduced to a minimum, i.e., a single pixel width, which is the object thinner, until now the smallest image point connectivity.)

本人编的图像配准算法，使用相关算法，模板在参考图像上移动(I compiled image registration algorithm, using the correlation algorithm)

马达多种特性曲线绘制，双座标轴，随曲线走向趋势添加注释(Motors draw a variety of characteristic curve, dual axis, with the curve of the trend to add comments)

Description All the filters have needed neighbor data the current pixel in the image,here this function(res_window=cover_window(how many neighbor value for row ,how many neighbor value for column ,input image) produce the result( res_window(row,col,total size)) input inp_img=2d data(row * col) w=cover size w=[3 3] = 3x3 cover pixel generation output o_img=result 3d o_img(w(1),w(2),r*col) if inp_img=[1 2 3 4 5 6 ] w=[3 3] Soloution it will construct new image new_img=[0 0 0 0 0 0 1 2 3 0 0 4 5 6 0 0 0 0 0 0] result o_img(:,:,1)=[0 0 0 0 1 2 0 4 5] o_img(:,:,2)=[0 0 0 1 2 3 4 5 6] finally o_img(1:3,1:3,6) example a=imread( pears.png ) b=rgb2gray(a) c=cover_window( b,[3 3]) 3x3 window construction

基于matlab实现语音识别的代码~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~(Matlab speech recognition-based code~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~)

模型预测控制实例，包含一段MPC控制的程序和仿真数据(model predict control)

fft source code

Frank Gross所著《智能天线》 一书的源代码(a book of the source code for Frank Gross book Smart Antenna )

一个简明的基于聚类的RBF（径向基）神经网络设计算法(A simple clustering-based RBF (Radial Basis Function) neural network design algorithm)

matlab 中的LOMB功能程序包 help中找不到这个程序包，问同学要到的 希望对大家有所帮助(matlab LOMB function can not be found in the package help this package, asked the students to want to help everyone)