standard-PSO

离散灰色的预测程序，利用最小二乘法预测数据(Discrete gray forecasting process, using least squares projections)

根据一组样本数据的均值和协方差矩阵随机产生正态分布以及对数正态分布的任意规模的样本数据。(According to a set of sample data mean and covariance matrix randomly generated normal and lognormal distribution of the sample data of any size.)

this is source code for M/M/1 Queueing method simulation with matlab

一个mc-cdma的程序，存在频率偏移和多普勒的情况下的同步问题(Mc-cdma a procedure, there is a frequency offset and Doppler in case the synchronization)

program about ofdm for transmitter and receiver signal run using matlab

fuzzy_cluster模糊聚类分析，本函数使用的是直接聚类法，直接输出聚类信息，无返回值 输入参数data是需要分类的数据，将会对data的列分类，请输入数据前把需要分类的向量按列保存到矩阵data 输入参数numda是分类的分类点，如果不知道可以先省略，系统默认1-0依次减小用以方便判断分割点，然后用户再细分( Fuzzy_cluster fuzzy clustering analysis, the function uses the clustering method is direct, direct output clustering information, no return value input parameter data is needed to classify data, classification of data will be listed, enter the data before the need saved by the column vector classification matrix data to the input parameters numda profile classification point is, if you do not know can be omitted, in order to reduce the system default 1-0 split point for easy judgment, then the user is subdivided)

learning of initiation of matlab programm

基于ＨＯＵＧＨ变换的检测圆的ＭＡＴＬＡＢ小程序．(HOUGH transform-based detection of small round MATLAB procedures.)

多项式求值的四种算法的运行时间复杂度的比较。将四个算法在一个程序中实现，并在一个运行结果图中比较显示。(Value of the four algorithms polynomial time complexity of running the comparison. Four algorithms will be implemented in a program and run the results in a comparison chart display.)

说明：   用最速下降法求最优化解 输入：f为函数名 grad为梯度函数 x0为解的初值 TolX,TolFun分别为变量和函数的误差阈值 dist0为初始步长 MaxIter为最大迭代次数 输出: xo为取最小值的点 fo为最小的函数值 f0 = f(x(0))( Steepest Descent Method with Optimum Solution input: f as a function name grad is gradient function x0 for the solution of the initial TolX, TolFun variables and functions were error threshold dist0 as the initial step MaxIter maximum Diego passage number Output: xo to take the minimum point of fo is the smallest function value f0 = f (x (0)))