haihiu_v28

CLASSICAL CONGESTION CONTROL

matlab模型与仿真教程，适合初学者和科研工作者学习(Matlab model and simulation tutorials, is suitable for beginners and research workers learning)

有限元 matlab 程序-----二维圆柱体的散射 (Finite element matlab program----- scattering of two-dimensional cylinder)

ch3=softt(h3,thr1 clear clc I=imread( lena512.bmp ) imshow(I) I=double(I) II=I+30*randn(size(I)) figure imshow(II,[]) [a1,h1,v1,d1]=dwt2(II, sym8 ) [a2,h2,v2,d2]=dwt2(a1, sym8 ) [a3,h3,v3,d3]=dwt2(a2, sym8 ) sigma=median(abs(d1(:)))/0.6745 x=3*sigma thr1=x*2^(-1) thr2=x*2^(-0.5) thr3=x 小波图像去噪( ch3=softt(h3,thr1 clear clc I=imread( lena512.bmp ) imshow(I) I=double(I) II=I+30*randn(size(I)) figure imshow(II,[]) [a1,h1,v1,d1]=dwt2(II, sym8 ) [a2,h2,v2,d2]=dwt2(a1, sym8 ) [a3,h3,v3,d3]=dwt2(a2, sym8 ) sigma=median(abs(d1(:)))/0.6745 x=3*sigma thr1=x*2^(-1) thr2=x*2^(-0.5) thr3=x )

第2种方法SAR雷达在斜视角etha下，雷达回波信号仿真 (SAR ECHO SIMULATION)

可以实现通过matlab GUI界面做串口通信助手的软件(Can be implemented by matlab GUI interface to do serial communication software assistant)

该工具箱的目的是要帮助人们理解计算机视觉方法引用另一种为在 matlab 的源代码。 因此，一些方法被 re-implemented，即使当其源代码不可用时，matlab 最初，具有方法。 例如 re-implemented kmeans 算法。(The aim of this toolbox is to present source codes in matlab as another kind of references for helping people to understand computer vision methods. Thus, some methods were re-implemented, even if matlab has the methods originally, when their source codes are not available. For example, kmeans algorithm was re-implemented. Howerver, notice that the built-in functions are faster than functions created in this toolbox because the built-in functions are mostly written in C. )

说明：  CFAR代码，CFAR是用于雷达的一种滤波方法，称为平均值滤波，本程序给出了主程序以及CFAR-function，并且有噪音图和信号图，可以进行比较分析(CFAR code, CFAR radar for a filtering method, known as average filtering, the process is the main program and CFAR-function, and the noise and signal map plan, it can conduct a comparative analysis)

说明：  Pareto方面的文章Pareto memetic algorithm for multiple objective optimization with an industrial application(Pareto memetic algorithm for multiple objective optimization with an industrial application)

JACOBI METOD FOR MATLAB