我编写的monte carlo随机数发生器检验程序

一个多目标跟踪的matlab代码，里面附有说明文档。其中背景差分法可以实现实时更新。该代码在检测与跟踪少量目标时效果很好，但是跟踪目标大于8后，效果下降很多(A multi-target tracking matlab code, which accompanied by a document. One of the background difference method can achieve real-time updates. The code detection and tracking at the time a small number of very good goal, but follow-up after the goal is greater than 8, the effect of decline in a lot of)

基于最近邻算法的股票价格预测matlab代码，很不错的(Nearest neighbor algorithm based on stock price prediction matlab code, very good)

Spatial Outlier Detection Algorithm by Matlab

说明：  高斯勒让德数值积分matlab程序，输出为：求积系数，求积权值，积分值(Chrysler to Germany and numerical integration of high matlab program output: quadrature coefficients, quadrature weights, integral)

基于burg算法实现的AR模型功率谱计算，算法已经仿真通过，有前向预测误差及后向预测误差，非常适合与学习加深现代谱估计的理论 (Burg algorithm to achieve the AR model power spectrum calculation algorithm has been through simulation, the forward prediction error and prediction error is ideal for learning to deepen modern spectral estimation theory)

matlab 程序代码 线性系统 龙格库塔法 可以解微分方程(matlab code linear system can solve differential equations Runge-Kutta method)

UWB-Run from editor debug(F5)-PPM(pulse position modulation) of UWB monocycle and doublet waveforms. This m file plots the time and frequency waveforms for PPM 1st and 2nd derivative equations used in UWB system analysis. Fudge factors are required to correct for inaccuracies in the 1st and 2nd derivative equations. Tail to tail on the time wave forms must be considered as the actual pulse width.

KMEANSK Performs K-means clustering given a list of feature vectors and k The argument k indicates the number of clusters you want the data to be divided into. data_vecs (N*R) is the set of R dimensional feature vectors for N data points. Each row in data_vecs gives the R dimensional vector for a single data point. Each column in data_vecs refers to values for a particular feature vector for all the N data points. The output data_idxs is a N*1 vector of integers telling which cluster number a particular data point belongs to. It also outputs centroids which is a k*R matrix, where each rows gives the vector for the cluster center. If we want to segment a color image i into 5 clusters using spacial and color information, we can use this function as follows:

nonlinear FEM analysis of 1 dimension bar

最经典的Gomory割平面法求解整数规划问题(The most classic Gomory cutting plane method for solving integer programming problems)