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演示椭圆的曲率圆的动画。该程序演示了椭圆各点的曲率变化及相应的曲率圆圆心的轨迹。(Demonstration of the curvature ellipse circle animation. The program demonstrates the various points of the curvature of the ellipse and the corresponding changes in the curvature of the round locus of the center.)

说明：  多焦点图像融合 利用基于双边梯度的锐化标准 相当对应的论文是J. Tian, L. Chen, L. Ma and W. Yu, "Multi-focus image fusion using a bilateral gradient-based sharpness criterion,"(This is a demo program of the paper J. Tian, L. Chen, L. Ma and W. Yu, "Multi-focus image fusion using a bilateral gradient-based sharpness criterion," Optics Communications, Vol. 284, Jan. 2011, pp. 80-87.)

说明：  MIT图像实验室的NMF代码,将一幅图像分解成多个特征部分(NMF image processing codes by MIT)

[Matlab有限元分析与应用] 书本的源代码！([Matlab finite element analysis and application])

three seven segment simulation in matlab

学校电子设计竞赛时做的一个小DDS系统,功能较全,基于DSPBuilder,在MatLab R2009b中仿真通过(Electronic Design Competition when schools do a small DDS system function than the whole, based on DSPBuilder, in the simulation in MatLab R2009b by)

这是关于基2FFT-DIT的程序 第一个压缩文件是matlab程序，并附有原理和流程图及总结 第二个是关于c的程序(This is based on the procedures for 2FFT-DIT is the matlab program a compressed file, together with principles and the second is the flow chart and summary of the procedures on c)

The architecture of this set of codes and the interaction among them is shown in Figure 1. The main testing code main code.m calls the code riemann grad unit opt.m that performs Riemannian optimization under unitary matrix constraint. Steepest Descent/Ascent (SD/SA) algorithm (see Table 3.2 in [1]), Conjugate Gradient (CG-PR, CG-FR) algo- rithms (both Fletcher-Reeves and Polak-Ribi`ere formulas, see Table 3.3 in [1]), are im- plemented. This code further calls the codes implementing line search methods: Armijo method geod search armijo.m, as well as the polynomial and DFT-based approximation

MIMO-OFDM System 2*2 matlab code

一本数值分析英文书籍，各种方法均配有相应的程序，用matlab，fortran等编写，值得一看(A numerical analysis of the English books, various methods are equipped with the appropriate procedures, using matlab, fortran, etc., worth a visit)