登录
首页 » PPT » MATLAB

MATLAB

于 2010-09-02 发布 文件大小:2390KB
0 238
下载积分: 1 下载次数: 1

代码说明:

  MATLAB的使用讲解,非常详细,包括各种工具箱的使用和SIMULINK的使用,对初学者很有帮助(The use of MATLAB to explain, in great detail, including the use of the toolbox and SIMULINK use, very helpful for beginners)

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • SF_NET
    无标度复杂网络代码,可直接运行!根据参数设定,生成预期网络结构!(Scale-free complex network code can be run directly! According to parameter setting to generate the expected network!)
    2011-06-09 17:19:49下载
    积分:1
  • viterbi
    viterbi algorithm in matlab simulation
    2011-09-06 18:48:22下载
    积分:1
  • tranter
    signals and systems matlab codes
    2013-09-20 09:34:36下载
    积分:1
  • xiti10-3
    智能控制(刘金琨版)第10章第3题课后练习MATLAB程序(Intelligent Control (Hangzhou Press Edition) Chapter 10 Homework Question 3 MATLAB program)
    2015-04-09 21:37:16下载
    积分:1
  • ys
    说明:  机电系统控制部分类型题的MATLAB实现过程(electromechanical system control of some type and that the process of MATLAB)
    2006-03-17 09:45:30下载
    积分:1
  • CS_OMP
    正交匹配追踪算法(OMP)是一种利用一个超完备的字典进行信号分解的非线性自适应算法(Template matching matlab program)
    2012-03-23 11:18:13下载
    积分:1
  • MMSE_MSE_calc
    This function generates mean squared error for the the MMSE estimator
    2015-02-12 19:02:39下载
    积分:1
  • PID3
    各种经典PID的MATLAB程序,主要涉及温度控制,压力控制,液位控制等(All kinds of classic PID MATLAB procedures, mainly related to the temperature control, pressure control, level control, etc )
    2015-09-14 12:42:45下载
    积分:1
  • IterativeClosestPointMethod
    ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model - matrix with model points, data - matrix with data points, OUTPUT: R - rotation matrix and T - translation vector accordingly so newdata = R*data + T . newdata are transformed data points to fit model see help icp for more information (ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model- matrix with model points, data- matrix with data points, OUTPUT: R- rotation matrix and T- translation vector accordingly so newdata = R*data+ T . newdata are transformed data points to fit model see help icp for more information )
    2007-09-09 16:06:34下载
    积分:1
  • ACMotorsTutorial
    acmotor tutorial acmotor tutorial acmotor tutorial acmotor tutorial
    2011-01-06 02:00:46下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载