Gramaltendcode

偏微分方程的MATLAB解法值得一看啊数学真是太重要了(MATLAB Solution of Partial Differential Equations Mathematics ah really worth a visit too important)

simple plot and show image matlab code with dll for .net app

详细介绍了利用等纹波设计和凯泽窗法设计FIR滤波器的方法，并进行了仿真，并对纹波系数和衰减进行了比较(Details of the method of utilization ripple design and Kaiser window FIR filter design, and simulation, and the ripple factor and attenuation compared)

大学期间，matlab学习过程使用过的所有必要的function！ 适合初学者！(University during the period, matlab learning process used by all the necessary function! Suitable for beginners!)

5种基本图像锐化算法用matlab实现的代码(5 kinds of basic matlab image sharpening algorithm to achieve)

坐标转换（四参数） [row col]=size(source) for i=1:row u(i)=source(i,2) v(i)=source(i,3) x(i)=source(i,4) y(i)=source(i,5) B(2*i-1,1)=1 B(2*i-1,2)=0 B(2*i-1,3)=u(i) B(2*i-1,4)=-v(i) B(2*i,1)=0 B(2*i,2)=1 B(2*i,3)=v(i) B(2*i,4)=u(i) L(2*i-1,1)=x(i) L(2*i,1)=y(i) end X=inv(B *B)*(B *L) Txy=[X(1) X(2)] xzjz(1,1)=X(3) xzjz(1,2)=-X(4) xzjz(2,1)=X(4) xzjz(2,2)=X(3) [row1 col1]=size(target) for i=1:row1 u1(i)=target(i,2) v1(i)=target(i,3) d=[u1(i) v1(i)] md=Txy+xzjz*d end end (Coordinate conversion： [row col]=size(source) for i=1:row u(i)=source(i,2) v(i)=source(i,3) x(i)=source(i,4) y(i)=source(i,5) B(2*i-1,1)=1 B(2*i-1,2)=0 B(2*i-1,3)=u(i) B(2*i-1,4)=-v(i) B(2*i,1)=0 B(2*i,2)=1 B(2*i,3)=v(i) B(2*i,4)=u(i) L(2*i-1,1)=x(i) L(2*i,1)=y(i) end X=inv(B *B)*(B *L) Txy=[X(1) X(2)] xzjz(1,1)=X(3) xzjz(1,2)=-X(4) xzjz(2,1)=X(4) xzjz(2,2)=X(3) [row1 col1]=size(target) for i=1:row1 u1(i)=target(i,2) v1(i)=target(i,3) d=[u1(i) v1(i)] md=Txy+xzjz*d end end )

这是一个非常重要的而又简单的程序，是书上常用和数学建模的好帮手( very good)

particle filter matlab code

包含Understanding and implementing the finite element method这本书，以及具体的matlab程序源码，该书是Mark S. Gockenbach 于2006完成出版的(Contain Understanding and implementing the finite element method this book, as well as specific matlab program source code, the book is Mark S. Gockenbach completed in 2006 and published in the)

全局阈值程序，用于matlab中图像分割，能够对比强烈的图片进行较好的分割。(Global threshold program, used in matlab image segmentation, can be used to better segmentation contrast images. )