adaboost

A series of exercices using matlab, about DIP.

DIRECT TORQUE CONTROL articl 4

针对数控钻孔最优效能的算法求解文献，使用PCB进行解决，能够更高效率地完成对于数控钻孔效率的提高。(CNC drilling optimal performance of the algorithm for solving literature, the use of PCB address, can more efficiently complete CNC drilling efficiency improve.)

用于心电信号检测，使得输出的心电信号真实准确(True and accurate ECG for ECG signal detection, making the output)

Radon transfor for medical purposes + computer vision

PTS法降低OFDM系统峰值平均功率比的源代码(OFDM system PTS method to reduce peak to average power ratio of the source code)

ICA算法的提出者Aapo Hyvarinen提供的FastICA算法，经典中的经典。(Author Aapo Hyvarinen ICA algorithm FastICA algorithm is available, the classic of classics.)

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)

《MATLAB神经网络30个案例分析》中的第26个例子，案例26 粒子群算法的寻优算法-非线性函数极值寻优。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 26 example, 26 cases of particle swarm algorithm optimization extreme - nonlinear function optimization algorithm. Hope to have certain help to everybody! have certain help to everybody! )

Speech analysis and parameter extraction Short-term analysis, frames and windows