capacitor_clamped

matlab7.0的教程资料的详细功能，学习资料。(matlab7.0 tutorial information function, learning information.)

BPSK modulation simulation,may be useful for you!

瑞利信道的仿真，课程设计参考代码，包含原理和仿真结果(Rayleigh channel simulation )

factorizacion de una matriz por gram schmidt

说明：   改进的牛顿法求解： 方程的构造方法:给出[0,1]区间上的随机数(服从均匀分布)作为方程的根p*. 设你的班级数为a3,学号的后两位数分别为a2与a1,从而得到你的三次方程 例如:你的31班的12号,则你的方程是21x3+60x2+2x+a0=0的形式. 方程中的系数a0由你得到的根p*来确定. (improve Newton's method : Construction of the equation : given interval [0,1] on the random number (subject to uniform distribution) as the root equation p*. set up your classes at a3, after learning of the double-digit for a1 and a2, so you get the three equations for example : Your 31 classes on the 12th, then your equation is 21x3 60x2 2x a0 = 0 forms. the equation coefficients a0 you get from the root of p* to determine.)

glowworm swarm optimization algorithm matlab(glowworm swarm optimization algorithm)

k-means Clustring sub routine very useful Texture Image Segmentation

1,、设置变量和参量： 　　X(n)为输入向量，或称为训练样本 　　W(n)为权值向量 　　e(n)为偏差 　　d(n)为期望输出 　　y(n)为实际输出 　　η为学习速率 　　n为迭代次数 　　2、初始化，赋给w(0)各一个较小的随机非零值，令n=0 　　3、对于一组输入样本x(n)和对应的期望输出d，计算 　　e(n)=d(n)-X^T(n)W(n) 　　W(n+1)=W(n)+ηX(n)e(n) 　　4、判断是否满足条件，若满足算法结束，若否n增加1，转入第3步继续执行(, set the variables and parameters: X (n) is the input vector, otherwise known as the training sample W (n) for the weight vector e (n) for the deviation d (n) is the desired output y (n) is the actual output η is the learning rate n is the number of iterations)

说明：  实现智能小车的性能分析和增稳设计，为智能小车的路径规划打好基础(Smart car for the performance of the analysis and design for intelligent increased steadily, the path planning a good foundation)

RSA 数字签名 matlab实现 是密码学中一个重要的签名算法(RSA digital signature cryptography matlab implementation are an important signature algorithm)