libsvm-mat-2.86-1

聚类分析（K-Means)程序实现及展现

说明：  1．编写欧拉前差、后差、梯形公式。 2．编写二阶、三阶龙格库塔法通用程序。 3．编写汉明积分法通用程序. 4．编写用状态转移法对连续系统状态方程进行离散化的通用程序。(1. Euler prepared before the poor, after the poor, trapezoid formula. 2. The preparation of the second order, third-order Runge-Kutta method common procedures. 3. Hamming integration method to prepare common procedures .4. Prepared by the state of the transfer method of continuous system discretization equation of state for the general program.)

ldpc codes are low no. of ones and more no. of zeroes

not yet finish game pls just finish it

利用各待评方案的指标体系，通过计算各待评价方案与理想解的接近程度，作为评价各方案的依 据的一种多目标决策评价方法(topsis sort)

MATLAB实现K均值聚类，自己编的，可用，不用系统函数。(MATLAB realization of K-means clustering, own, use, instead of the system functions.)

DS证据，功能：融合x,y两行向量(经典Dempster-Shafer组合公式)(DS evidence features: integration of x, y two row vectors (classical Dempster-Shafer combination formula))

matlab code for Phase Locked Loop tutorial

PARAFAC Based Blind Estimation

说明：  线性规划问题经典算法，matlab编写。(Linear programming problems classical algorithm, matlab prepared.)