gongertidufa

matlab数理统计工具箱应用简介 统计，神经网络(matlab toolbox application of mathematical statistics Introduction to statistics, neural networks)

一种基于WAVELAT的语音水印嵌入，可实时的对语音文件进行水印嵌入(A WAVELAT embedding voice, real-time voice of the document embedding)

列主元消去法解线性齐次方程组的matlab程序(Column principal component elimination method for solving linear homogeneous equations matlab program)

女声 男声转换的程序 用matlab做的，运行无差错，供大家参考(Female male conversion process using matlab to do, running error-free, for your reference)

禁忌搜索算法的matlab实现，以旅行商问题为例，使用该算法找出满意解。(Tabu search algorithm matlab realize, to the traveling salesman problem, for example, the use of the algorithm to find satisfactory solution.)

点云数据的匹配处理，其中icp算法是经典的方法，其精度和可靠性比较好。(the registration of point cloud,icp is the registration method. )

基于active-set 的SQP算法，用于求解非线性不等约束(SQP algorithm used to find a constrained minimum of a function of several variables based on active-set algorithm, subject to the nonlinear inequalities.)

已经经过测试，实现CMA盲均衡的功能，对学习还是很有帮助的(Has been tested, CMA blind equalization function, learning or helpful)

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)

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