2variable

2003年Park关于超分辨图像重建的综述性文献，文中回顾了时域与频域的各种重建方法，并进行了比较。比较全面(2003 Park on the super-resolution image reconstruction is summarized in literature, the paper recalled the time domain and frequency domain of various reconstruction methods and compared. More comprehensive)

包含一本经典英文MIMO书籍中所有的图形的程序(MIMO contains a classic English books all graphics programs)

matlab绘制图形完成后，在句柄窗口实现局部放大，通过鼠标键盘的操作来选择放大区域(matlab graphics rendering is completed, the handle of the window to achieve local amplification, through the operation of mouse and keyboard to select the magnified area)

imnverted pendulum bymyself it is used for simulation about robot

针对多椭圆检测问题提出了一种快速随机检测算法。该算法利用在图像中随机采样到的一个边缘点和 局部搜索到的两个边缘点以及这三个点的邻域信息确定候选椭圆,再将候选椭圆变换为对应圆,通过确认真圆来确 认真椭圆。在确定候选椭圆时,最大限度地减少随机采样点数‰ 剔除更多的非椭圆点,降低了无效采样,减少了无效 计算。数值实验结果表明:该算法具有良好的鲁棒性,其检测速度比同类算法快(Ellipse detection problem for many a fast random detection algorithm. The algorithm uses random sampling in the image of an edge point and the local search to the two edge points, as well as the three-point neighborhood information to determine the candidate ellipse, and then transformed into the corresponding elliptical candidate won, through the identification of real yen to confirm really elliptical. In determining when a candidate ellipse, to minimize random sampling points ‰ remove more non-oval points, reducing invalid sampling, to reduce the calculation invalid. Numerical experimental results show that: the algorithm has good robustness, and its detection faster than similar algorithms quickly)

用MATLAB实现非线性方程的数值解法。主要有不动点迭代法，牛顿法，割线法和对称秩法的MATLAB源码。(Numerical solution of nonlinear equations with MATLAB. Fixed point iteration method, Newton, secant, and the symmetry rank of the MATLAB source.)

说明：  数学建模 因子分析法 matlab 程序 源代码(Mathematical modeling factor analysis matlab source code)

谱分析 绘制瞬时包络图和瞬时频率图 绘制Hilbert-Huang谱 画出边际谱(Spectrum draw instantaneous envelope and instantaneous frequency diagram drawing Hilbert-Huang spectrum shown marginal spectrum)

Trinh bay cac he thong thong tin

第9章 聚类分析的码源，有效进行科学数据的处理，有例子，测试效果好！！(Chapter 9 clustering analysis source code, valid scientific data processing, there are examples of test results is good! !)