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ovm_idm.zip - 基于 汽车跟驰模型OVM 和 IDM 的动态特性分析（2辆车）,2019-01-03 12:22:59,下载36次
third_-octave.rar - 采用带通滤波法，对信号进行1/3倍频程分析。程序带详细注释。,2011-12-22 21:24:35,下载58次

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CarSim_Matlab联合仿真20131218得到的成功版test.rar - 基于carsim与matlab联合仿真的无人车辆路径规划与轨迹重规划
vehicle-dynamics-model.rar - 二自由度车辆动力学模型(Simulink),matlab实现汽车动力学模型。
twodegree.rar - 汽车二自由度模型，对于初学matlab者有所帮助。
Maximum-Likelihood-Estimation.zip - Maximum Likelihood Estimation Step 1. : Estimate the mean vector and covariance of an arbitrary 3-class dataset with bi-variate Gaussian distribution by maximum likelihood estimation An arbitrary 3-class dataset is given (by Dataset.mat) and the priors are equal. Step 2. : If three arbitrary samples are given as follows, determine to which class each sample should belong. Let arbitrary samples are as follows: Z_1=[50 50]^T, Z_2=[10 20]^T, Z_3=[0 20]^T
EM_GM.rar - ％ 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 ％

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