activities_of_the_shape_model

5.1 在VC++中调用Matlab引擎 matlabenginetest目录 5.2 VC++中调用Matlab *.m函数编译后的动态链接库 VC++中调用Matlab .m函数编译后的动态链接库目录(failed to translate)

heat transfer example 1a

Bema analysis by using the finte element method

通过最小二乘法及SVD-TLS法对同一谱进行了功率谱分析，并比较了不同阶数下，最小二乘法的效果(By least-squares method and SVD-TLS method to the same spectra of the power spectrum analysis, and compare the number of different bands under the effect of least-squares method)

This mex-file reads SHPT_POINT, SHPT_MULTIPOINT, SHPT_ARC, and SHPT_POLYGON shapefiles into structures. Other requirements： Requires shapelib (http://shapelib.maptools.org). (This mex-file reads SHPT_POINT, SHPT_MULTIPOINT, SHPT_ARC, and SHPT_POLYGON shapefiles into structures. Other requirements： Requires shapelib (http://shapelib.maptools.org).)

说明：  随机共振是一种新颖的信号降噪方法，适量的噪声能够共振出隐含的特征频率。(SR is a good method to denoise signals.)

MATLAB智能算法30个案例分析 源代码(Intelligent algorithm MATLAB source code 30 case studies)

implementation of Secure Force Encryption Algorithm for images.

bpa环境下，Ieee39节点稳态暂态标准数据(the bpa environment IEEE 39 node Steady State Transient standard data)

％radon transform clear all ％ N=800 n=1:N fs=200 t=n/fs x1=exp(j*2*pi*(5*t+0.5*5*t.^2)) x2=exp(j*2*pi*(5*t+0.5*15*t.^2)) x=x1+x2 ％N=length(x) ％ ambifunb(x ) ％*****************************************RAT naf=ambifunb(x) htl(abs(naf)) ％ [wh,rho,theta]=htl(abs(naf)) colormap([0,0,0]) ％ xlabel( 极半径 ) ％ ylabel( 角度 ) ％**************************************％找出峰值点的坐标,计算初始频率和调频斜率(正确) ％找出峰值点的坐标 b=max(max(wh)) [u,a]=find(wh>=0.8*b) ( Radon transformclear all N = 800 n = 1: N fs = 200 t = n/fs x1 = exp (j* 2* pi* (5* t+ 0.5* 5* t. ^ 2)) x2 = exp ( j* 2* pi* (5* t+ 0.5* 15* t. ^ 2)) x = x1+ x2 N = length (x) ambifunb (x)***************************************** RATnaf = ambifunb (x) htl (abs (naf)) [wh, rho, theta ] = htl (abs (naf)) colormap ([0,0,0]) xlabel (polar radius) ylabel (angle)************************************** to find the coordinates of the peak point, calculating the initial slope of the frequency and FM (right) find the peak point of the coordinates b = max (max ( wh)) [u, a] = find (wh)