Tugas

关于今年来四川房价的一个时间序列预测，有很好的预测结果(For this year to a time series of Sichuan house price forecasts)

用matlab写的一个正交匹配追踪基的函数程序(Written by matlab function program a group of orthogonal matching pursuit)

minim squares matlab numerical

汽车悬架（钢板弹簧，减震器）设计程序，matlab环境（含ＧＵＩ），(Vehicle suspension (leaf springs, shock absorbers) design procedures, matlab environment (including the GUI))

Press Numerica Methods in Engineering with MATLAB 2005

采用matlab编写，HLL和ROE黎曼求解器求解一维激波管问题，并有与精确黎曼求解器结果对比。( one-dimensional shock tube problem using HLL and ROE Riemann solver )

digital signal processing

％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none) ％ maxiter - maximum number of iteration allowed ([] for none) ％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) ％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) ％ ％ Ouputs: ％ W(1,k) - estimated weights of GM ％ M(d,k) - estimated mean vectors of GM ％ V(d,d,k) - estimated covariance matrices of GM ％ L - log likelihood of estimates ％( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)

Vehicle Serial Numbers ,and Money Value detection

说明：  三歩搜索法，是运动估计中块匹配方法的一种简便搜索方式 (Three-step search method, block matching motion estimation is a convenient way to search method)