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subplot
- 用subplot分别在不同的坐标系下作出下列四条曲线，为每幅图形加上标题-subplot were used in different coordinate system to the following four curves for each piece of the title with graphics
wavelift
- 暂时只支持jpeg2000支持的 cdf97 和spline53 可以这样来测试： x=imread( E:\\study\\jpeg2000\\images\\lena.tif ) ％ see the decomposition coefficients y=wavelift(x, 1, spl53 ) using spline 5/3 wavelet figure subplot(1,2,1) imshow(x) subplot(1,2,2) imshow(mat2g
2fdb
- 先确定二分法的上下两个端点值,这个在figure的subplot(121)中确定。 然后进行循环求解。 -confirmed dichotomy in the next two endpoint value, The figure in the subplot (121) identified. Then cycle solution.
pthoto1
- subplot(2,2,1) imshow(I) title( 原始图象 ) subplot(2,2,2) imshow(BW1) title( prewitt 边缘检测后的图象 ) subplot(2,2,3) imshow(BW2) title( canny 边缘检测后的图象 ) subplot(2,2,4) imshow(BW3) title( sobel 边缘检测后的图象 ) -subplot (2,2, 1) imshow (I) title (original ima
newnethodotsu
- 一个新设计的OTSU算法，使用方法如下：％ load clown ％ subplot(221) ％ imshow(X/max(X(:))) ％ title( Original , FontWeight , bold ) ％ for n = 2:4 ％ Iseg = otsu(X,n) ％ subplot(2,2,n), colormap(gray) ％ imshow(Iseg) ％ title([ n = int2str(n)], FontWeight , bo
1
- 在命令窗输入如下内容就得到图形了: [t,x]=ode45( godhua ,[0,10],[0,0,0,1]) subplot(131) plot(t,x(:,4)) xlabel( t ) ylabel( y ) subplot(132) plot(t,x(:,1)) xlabel( t ) ylabel( v ) subplot(133) plot(t,x(:,2)) xlabel( t ) ylabel( \\theta )
subplot
- Matlab绘制子图函数的使用，Matlab绘制子图函数的使用
image resampling
- %This is a simple function that resamples the image %at a different pixel size function nimg = imresample(oldpixsize,img,newpixsize,intmethod) % This function resamples the images at the new grid points % defined by the new pixel sizes. It
直接卷积
- title('xn'); subplot(2,2,2) plot(yn); title('直接卷积'); subplot(2,2,3) plot(yn1); title('filter函数'); subplot(2,2,4) plot(y3); title('iir计算');
对图像进行YCbCr分解
- rgb=imread('lena.png'); YCbCr=rgb2ycbcr(rgb); subplot(221),imshow(rgb),title('image'); Y=YCbCr(:,:,1); Cb=YCbCr(:,:,2); Cr=YCbCr(:,:,3); ycbcrmap(:,:,1)=Y; ycbcrmap(:,:,2)=128; ycbcrmap(:,:,3)=128; subplot(222),imshow(Y),title('Y'); ycbcrma
matlab绘图的函数
- matlab绘图函数详细介绍，包括绘制图的颜色、符号函数等。
angle1
- 捷联惯性导航仿真程序 figure(1) subplot(1,3,1) plot(t,ww1,t,ww4) subplot(1,3,2) plot(t,ww2,t,ww5) subplot(1,3,3) plot(t,ww3,t,ww6) figure(2) subplot(1,3,1) plot(t,vv1,t,vv4) subplot(1,3,2) plot(t,vv2,t,vv5) subp
matlab
- y3k=fft(u,(m+n-2)/4) i=1:(m+n-2)/4 subplot(5,2,9) stem(i,u) title( 滤波后上采样 ) k=1:(m+n-2)/4 subplot(5,2,10) stem(k,y3k) title( 上采样频谱 ) xlabel( k ) ylabel( y3k ) -y3k = fft (u, (m+ n-2)/4) i = 1: (m+ n-2)/4 subplot (5,2,9) s
forplot
- 根据多行三列的实验数据（x,y,signal)作出contourf图。其中x,y为二位空间位置（或其他概念的二维），signal为在该位置的信号。此代码先将数据按位置不同求平均，再将signal按照其对应的x,y分配到二位矩阵内。最后作图。编这个代码的初衷是为了制作大脑hippocampus区域place cell 活动性的contour 图。-it s a code i made for plotting a contour graph of experimental data (x,y,si
untitled
- A bandpass signal is defined by clear all t=-10:0.06:10 m=3*(cos(2*pi*10*t)+4*sin(2*pi*20*t)) x=6*m.*cos(2*pi*100*t) f0=100 fmax=100 NSamples=256 Amplitude Response plot of x(t) figure(1) subplot(211) plot(t,ab
das
- Demodulating the signal. DeAmpMod = (1/2).*(ademod(AmpMod,Fc,Fs, amdsb-sc ,num,den)) (ALTERNATIVE APPROACH) DeAmpMod = AmpMod.*Cs Designing butterworth low pass filter. [num,den] = butter(2,.8) FilteredOutput = filter(num,den
Amplitude_mod_m
- fm=input( Enter the message signal frequency fm= ) fc=input( Enter the carrier frequency fc= ) Am=input( Enter the message signal amplitude Am= ) Ac=input( Enter the carrier signal frequency Ac= ) n=input( Enter the no of DFT points: )
123
- 用subplot，imshow，imread，遍历并显示图库文件夹中的人脸图像（用循环）。运行后图像要显示成矩阵模式的，还得产生统一矩阵和均值矩阵。-With a subplot, imshow, imread, traverse and display the Gallery folder of face images (with circulation). After running into the matrix mode to display images, and have to pr
subplot
- 显示图像，可同时显示多福图像，并可用title标注说明-subplot
regtohsv
- reg 转换为 hsv 的matlab源代码 subplot(221) subimage(ph) colorbar xlabel( (a)色调分量图像 ) subplot(222) subimage(ps) colorbar xlabel( (b)饱和度分量图像 ) subplot(223) subimage(pv) colorbar xlabel( (c)亮度分量图像 ) subplot(224) subimage(phsv) colorbar x