FDTD_TM_PC

Objective Fidelity Criteria(Objective Criteria)

matlab程序画图，常见分形图，function cantor(A,B) c=1 p=0 figure hold on plot([A(2) B(2)],[A(1) B(1)], r* ) while norm(A(1,:)-B(1,:))>=1 C=[] D=[] for i=1:size(A,1) a=A(i,:)+(B(i,:)-A(i,:))/3 b=A(i,:)+2*(B(i,:)-A(i,:))/3 C=[C A(i,:) b] D=[D a B(i,:)] end A=C B=D p=p+1 (matlab program drawing, common fractal images function cantor(A,B) c=1 p=0 figure hold on plot([A(2) B(2)],[A(1) B(1)], r* ) while norm(A(1,:)-B(1,:))>=1 C=[] D=[] for i=1:size(A,1) a=A(i,:)+(B(i,:)-A(i,:))/3 b=A(i,:)+2*(B(i,:)-A(i,:))/3 C=[C A(i,:) b] D=[D a B(i,:)] end A=C B=D p=p+1 )

Display 3D volumetric data such as MRI images dynamiclly. Click on an image to change the position.

应用KNN算法解决0到9的手写数字识别问题，效果在90 以上，内部有两个数据集，一个为训练集（7291个数据），一个为测试数据（2791个数据），程序采用MATLAB编写，另附有文档，程序简洁易懂(Application KNN algorithm to solve 0-9 handwritten digit recognition problem, the effect is more than 90 , the inside has two data sets, one for the training set (7291 data), a test data (2791 data), the program written using MATLAB , attached a document, the program is simple and easy to understand)

自己编写的现代谱估计方法中的Burg算法，并和MATLAB中的函数pburg函数进行对比，两个函数性能相当，便于大家学习掌握这个算法。(Modern spectral estimation methods have written Burg algorithm, and MATLAB functions pburg function comparison, the performance of the two functions is quite near to make you master this algorithm easily.)

内含用神经网络进行信号处理的两个实例，采用MATLAB编写。(Intron with neural network signal processing of two examples of using MATLAB to prepare.)

电力电子中AC-AC交流调压电路在simulink中的仿真模型(Power electronics AC-AC AC voltage regulator circuit simulation model in simulink)

说明：  001小波变换及其MATLAB工具的应用(001 DWT and MATLAB application tools)

zernike矩算法，matlab语言开发，可用于图像匹配等(zernike moments algorithm, Matlab language can be used for image matching, etc.)

用于计算混沌过程中的程序，能很好的解决非线性动力学问题(duffing stochastic resonance)