Matlab-recognizing

这是用汉语注释的EMD程序，很不错的。％ 语法 ％ IMF = EMD(X) ％ IMF = EMD(X,..., Option_name ,Option_value,...) ％ IMF = EMD(X,OPTS) ％ [IMF,ORT,NB_ITERATIONS] = EMD(...)(This is annotated in Chinese EMD procedures, very good. Syntax IMF = EMD (X) IMF = EMD (X ,..., Option_name, Option_value ,...) IMF = EMD (X, OPTS) [IMF, ORT, NB_ITERATIONS] = EMD (.. .))

another progaram that has been in matlab

Face recognitiion and detection system in matlab

this codes present SVM

pwm整流器的建模仿真，一些自适应信号处理的算法，包含位置式PID算法、积分分离式PID，使用matlab实现智能预测控制算法，实现串口的数据采集，双向PCS控制仿真。( Modeling and simulation pwm rectifier Some adaptive signal processing algorithms, It contains positional PID algorithm, integral separate PID, Use matlab intelligent predictive control algorithm, Achieve serial data acquisition, Two-way PCS control simulation.)

说明：  matlab code for cognitive radio

D算法求最短路径利用matlab解决 输出S矩阵和行向量(Dijkstra algorithm)

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

MATLAB IMPLEMENTATION OF ASTAR ALGORITHM

相关分析过程的matlab方法，针对EMD方法的不足,自己编的5种调制信号。( Correlation analysis process matlab method, For lack of EMD, Own five modulation signal.)