linear_regression_with_one_variable

1. 安装MATLAB软件。安装时，将MATLAB安装在C:MatlabR12目录下 Matlab的详细安装方法见有关安装手册 2. 拷贝文件:即将光盘中的/ctl/program和/ctl/functions下的 文件复制到用户目录下（例如，D:User) 3. 设置路径:先运行MATLAB,在桌面操作环境下，点击File下拉式菜单 的Set path选项，添加用户目录（例如，D:User)(含子目录ctl等） 到MATLAB的工作路径 4. 运行程序:先运行MATLAB,如第3步已运行，可直接键入示例命令。 例如，键入ex1_1等 5. 阅读教材，并对示例进行操作。">

卡尔曼的视频序列帧图像的跟踪程序，基于matlab语言的，大家可以看看！(Tracking procedure of the Kalman frame of video sequences)

this file is simulink of DC motor and PID controller

说明：  本程序用来检测人的皮肤区域，并在图中标定出来。(This procedure is used to detect human skin regions, and out in the calibration diagram.)

悉尼大学SLAM团队的基于道路特征提取的探测树方法，直接运行viewLsr.m文件即可。(University of Sydney team based SLAM detection tree path feature extraction methods, directly run viewLsr.m files.)

MATLAB 教程，适用于初学者，也可用于自学，介绍了MATLAB基本的编程技巧。(MATLAB tutorial for beginners, and can also be used for self-study, MATLAB basic programming skills.)

结构分析有限元法与MATLAB程序设计-源代码 徐荣桥的结构分析的有限元法与MATLAB程序设计的附属程序，好好学习，天天向上！(The structural analysis of the finite element method structural analysis of the finite element method with MATLAB Programming- source code Xu Rong bridge program MATLAB programming subsidiary, a good study, day day up!)

MIMO-OFDM系统的仿真，MIMO-OFDM系统的每个模块都有，都能成功仿真(MIMO-OFDM system simulation, MIMO-OFDM system, each module has, can successfully simulate)

使用粒子滤波的matlab的实现，可以跟踪目标(Particle filter )

主程序arma2Ddemo是对模拟图像的2DAR和ARMA参数估计。(arma2Ddemo: See and run the demo arma2Ddemo for an example of 2D AR and ARMA parameters estimation from simulated images. - sim_ar2d: generation of simulated 2D AR process. - sim_arma2d: generation of simulated 2D ARMA process. - ar2d: solves 2D yule walker to estimate AR parameters - arma2d: estimation of 2D ARMA parameters. First step: estimation of the gaussian input by inv_ar2d, Second step: linear system solution to estimates simultaneously AR and MA parameters, as explained in [1]. - inv_ar2d: first step in arma2d. Filters through inverse filter 1/AR an AR process, to generate its innovation Gaussian signal. It is used here to estimate the Gaussian noise input to the ARMA 2D process, approximating the ARMA model to a high order AR model. - poles2coeff: converts poles chosen by user to AR or MA coefficients (support function) )