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matlab界面设计的中文资料，对初学者有用(matlab interface design of the Chinese data, useful for beginners)

联合Optisystem与matlab仿真的OFDM子程序(Optisystem & matlab co-simulation)

matlab function that generates huffman code for image

说明：  这是作者自己编写的基于matlab语言的程序设计。遗传算法的函数优化 应用。 (is prepared by the author himself on the Matlab programming language. Genetic Algorithms Optimization applications.)

在matlab平台下进行的车牌识别仿真 是一份完整的毕业论文(License plate recognition simulation in Matlab platform is a complete thesis )

绘图典型程序 包括简单的二维 三维 六维(Typical drawing program includes a simple two-dimensional three-dimensional six-dimensional)

分形的练习一 ①Koch曲线 用复数的方法来迭代Koch曲线 clear i 防止i被重新赋值 A=[0 1] 初始A是连接（0，0）与（1，0）的线段 t=exp(i*pi/3) n=2 n是迭代次数 for j=0:n A=A/3 a=ones(1,2*4^j) A=[A (t*A+a/3) (A/t+(1/2+sqrt(3)/6*i)*a) A+2/3*a] end plot(real(A),imag(A)) axis([0 1 -0.1 0.8]) ②Sierpinski三角形 A=[0 1 0.5 0 0 1] 初始化A n=3 迭代次数 for i=1:n A=A/2 b=zeros(1,3^i) c=ones(1,3^i)/2 A=[A A+[c b] A+[c/2 c]] end for i=1:3^n patch(A(1,3*i-2:3*i),A(2,3*i-2:3*i), b ) patch填充函数 end (Fractal Exercise One The ① Koch curve Plural iteration Koch curve clear i to prevent i is reassigned A = [0 1] initial A is a connection (0,0) and (1,0) of the segments t = exp (i* pi/3) n = 2 n is the number of iterations for j = 0: n A = A/3 a = ones (1,2* 4 ^ j) A = [A (t* A+ a/3) (A/t+ (1/2+ sqrt (3)/6* i)* a) A+2/3* a] end plot (real (A), imag (A)) axis ([0 1-0.1 0.8])   ② Sierpinski triangle A = [0 1 0.5 0 0 1] initialized A n = 3 the number of iterations. for i = 1: n A = A/2 b = zeros (1,3 ^ i) c = ones (1,3 ^ i)/2 A = [A A+ [c b] A+ [c/2 c]] end for i = 1:3 ^ n patch (A (1,3* i-2: 3* i), A (2,3* i-2: 3* i), b ) patch filled function end)

Restricted Boltzmann Machine with binary visible and binary hidden units.

说明：  该函数仿真了线型调频函数的模糊度图。对学习模糊度者有一定借鉴作用(The simulation of a linear function of the ambiguity function FM Fig. Fuzzy degree of learning from those who have a certain role)

在矩形区域内不重叠随机产生初始坐标，作圆。(Draw circles in the rectangle.)