3

说明：  这是一个基于累计量的独立分量分析改进算法的源程序(This is a cumulant-based independent component analysis algorithm source code)

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)

CT投影数据模拟程序,生成CT的投影数据，十分有用，附说明pdf(Projection simulation)

μ律（美国标准，μ=255）pcm，包括编码、解码过程(μ-law (American Standard, μ = 255) pcm, including encoding, decoding)

Model-Based_Predictive_Control_A practical approach，pdf图书和图书配套的matlab仿真代码(Model-Based_Predictive_Control_A practical approach, book and matlab code for this book)

ofdm正交频分复用系统误码率ber，比较简单，基础框架(the ber of ofdm system)

【无人驾驶传感器之64线激光雷达】 velodyne hdl64es2 64线激光雷达点云数据处理之雷达扫描范围图([64 line laser radar sensor of the unmanned] velodyne hdl64es2 64 lines LIDAR point cloud data processing of the scan range radar chart)

cycloconveter with scr commutation

Matlab/Simulink 滑膜控制(sliding mode control)

说明：  matlab编写的进行地震处理中的速度分析，包括速度转换等内容(matlab write speed of processing seismic analysis, including speed of conversion, etc.)