eetop.cn_FYP_V2

在Matlab/Simulink构造一缓慢时变线性系统。试根据系统的输入生产数据分别用带遗忘因子最小二乘法和广义最小二乘法辨识系统的参数。(in Matlab/Simulink constructed a slow time-varying linear systems. Examination under the input production data were used to bring the forgotten factor method of least squares and generalized least squares method recognition system parameters.)

LDPC Discription Decoder

通过对视频的适当修改，运用matlab软件实现视频图片提取。(chang video into image with matlab)

粒子群算法Rastrgrin实现寻优，利用一具体案例得出寻优结果(Particle swarm optimization algorithm Rastrgrin realized using a specific case optimization results obtained)

it is the file which consists of ofdm using matlab

％ 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)

说明：  多元线性回归的MatLAB代码，在MatLAB7.0运行成功！(Multiple linear regression MatLAB code, MatLAB7.0 runs successfully!)

Lte fundamentals and mathematical algorithms

很实用的移动通信多径干扰信道JAKE模型建模程序 (Practical mobile communication channel multipath interference modeling procedures JAKE)

用matlab做的多元线形回归预测的小程序，抱愧数据，可以运行。(using Matlab do multiple linear regression forecast a small procedure, feel ashamed of data, can run.)