登录
首页 » matlab » matlab_drawingbroad

matlab_drawingbroad

于 2014-11-04 发布 文件大小:27KB
0 270
下载积分: 1 下载次数: 9

代码说明:

  基于matlab的小型画图板程序,可以实现基本的图形绘制,如线,圆,椭圆,矩形,多边形等。实现了matlab的GUI界面编程。(It s a little drawing broad programme based on matlab.)

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

  • matlab
    基于matlab的植物叶面积检测系统(suzy)(Matlab based on plant leaf area detection system (suzy))
    2008-04-29 14:55:13下载
    积分:1
  • MATLAB-in-electronic-class
    介绍了MATLAB在电子领域的应用,配套了相关M文件的程序(Describes the application of MATLAB in the electronics field, supporting the relevant M-file program)
    2011-10-29 15:40:32下载
    积分:1
  • Portal_RPHA-20-05-12
    MATLAB code for Refined Plastic hinge analysis
    2012-09-03 10:43:04下载
    积分:1
  • Matlab_11chengxu
    matlab的60个小程序,自己找的,感觉不错,可以当模板来用,供大家学习与交流。(matlab 60 small programs, they seek for themselves, feel good, when the template to use for them to learn and exchange.)
    2012-11-18 09:33:40下载
    积分:1
  • 《混沌时间序列分析及其应用》吕金虎
    说明:  里面涉及很多的混沌数据处理的算法,可以提供给大家使用(There are many chaotic data processing algorithms involved.)
    2021-03-03 16:49:32下载
    积分:1
  • PD_5chirp_com_xiugai_2
    基于MATLAB的雷达回波成像与脉冲压缩程序。(MATLAB-based imaging and the echo pulse compression process.)
    2009-05-10 21:18:52下载
    积分:1
  • Forward-Kinematics-NEWTON-auto
    6sps运动学正解,牛顿法代码的Matlab程序(6sps kinematics, Newto method code in Matlab)
    2013-11-04 22:46:00下载
    积分:1
  • Normalized_MRAC
    归一化模型参考自适应控制的Matlab实例,仿真模拟闭环跟踪方波输入 关键字:归一化 模型参考自适应控制 Matlab 例程 MIT(A Matlab example of normalized model reference adaptive control.The closed-loop system is simulate to follow a square reference signal. Keywords: Normalized Model Reference Adaptive Control, Matlab, Simulink Model, MIT Rule)
    2021-04-18 15:38:57下载
    积分:1
  • double
    matlab下对于系统模型的仿真,为复杂系统设计做准备(matlab simulation model under the system, in preparation for the design of complex systems)
    2011-11-04 14:56:32下载
    积分:1
  • 基于PCA的SVM分类
    选择“BreastCancer”数据集,使用支持向量机(SVM)对其进行分类。作为对比,第一次对特征集直接进行支持向量机分类,第二次对特征集进行主成分分析法的特征提取后,再对特征提取后的特征集进行支持向量机分类。并且对比和分析了两次分类的结果。(The BreastCancer data set is selected and classified by Support Vector Machine (SVM). For comparison, the first time the feature set is classified directly by support vector machine, the second time the feature set is extracted by principal component analysis, and then the feature set is classified by support vector machine. The results of the two classifications are compared and analyzed.)
    2020-06-20 10:20:02下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载