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Search - subplot - List
[
Other resource
]
subplot
DL : 0
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
Update
: 2008-10-13
Size
: 9.4kb
Publisher
:
淡林
[
Other resource
]
wavelift
DL : 0
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(mat2gray(y)) % see the reconstruction precision yy=wavelift(x, 5) using cdf 9/7 wavelet ix=wavelift(yy,-5) inverse sum(sum((double(x)-ix).^2)) -only temporary support jpeg2000 support cdf97 and spline53 this can be measured Examination : x = imread (E : \\ study \\ jpeg2000 \\ images \\ lena.tif)% see the d ecomposition coefficients wavelift y = (x, 1, spl53) using spline 5 / 3 wavelet figure subplot (1,2,1) imshow (x) subplot (1,2, 2) imshow (mat2gray (y))% see the reconstructi on precision wavelift yy = (x, 5) using cdf 9 / 7 wavelet ix = wavelift (yy. -5) inverse sum (sum ((double (x) - ix). ^ 2
Update
: 2008-10-13
Size
: 6.3kb
Publisher
:
余庆红
[
Other
]
2fdb
DL : 0
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.
Update
: 2008-10-13
Size
: 1.14kb
Publisher
:
saifu
[
Special Effects
]
pthoto1
DL : 0
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 image) subplot (2,2, 2) imshow (BW1) title (prewitt edge detection of images) subpl ot (2,2, 3) imshow (BW2) title (canny edge detection of images) subplot (2') imshow (BW3) title (segmentation edge detection, the image)
Update
: 2008-10-13
Size
: 2.58kb
Publisher
:
阿强
[
Special Effects
]
newnethodotsu
DL : 0
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 , bold ) % end
Update
: 2008-10-13
Size
: 2.11kb
Publisher
:
yemaoqiu
[
WEB Code
]
1
DL : 0
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 )
Update
: 2008-10-13
Size
: 3.42kb
Publisher
:
胡松林
[
Other resource
]
subplot
DL : 0
Matlab绘制子图函数的使用,Matlab绘制子图函数的使用
Update
: 2008-10-13
Size
: 1.85kb
Publisher
:
expert_12345
[
matlab
]
image resampling
DL : 0
%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 assumes that intensities are % defined at pixel centers % % img : original image to be resampled % nimg : newly sampled image % oldpixsize : a vector of the form [xpixsize, ypixsize] % for the original image, e.g., [0.5,0.5] % newpixsize : is a vector of the form [xpixsize, ypixsize] % for the new image, e.g., [0.2,0.2] % intmethod: same as interp2 % 'nearest' - nearest neighbor % 'linear' - bilinear % 'cubic' - bicubic % 'spline' - spline % Example: % % % Create a 2D gaussian function % H = fspecial('gaussian',[31,31],5); % % Resample it at a smaller pixel size % NH = imresample([1,1],H,[0.2,0.2],'spline'); % figure;subplot(211);imshow(H,[]);title('Original'); % subplot(212);imshow(NH,[]); % title('Resampled using spline interplolation');
Update
: 2010-09-10
Size
: 1.67kb
Publisher
:
whitewalter
[
Other
]
直接卷积
DL : 0
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');
Update
: 2010-12-16
Size
: 60.5kb
Publisher
:
zhj891102
[
Other
]
An Introduction to Matlab
DL : 0
1 MATLAB 2 2 Starting Up 2 2.1 Windows Systems . . . . . . . . . . 2 2.2 Unix Systems . . . . . . . . . . . . . 2 2.3 Command Line Help . . . . . . . . . 2 2.4 Demos . . . . . . . . . . . . . . . . . 3 3 Matlab as a Calculator 3 4 Numbers & Formats 3 5 Variables 3 5.1 Variable Names . . . . . . . . . . . . 3 6 Suppressing output 4 7 Built{In Functions 4 7.1 Trigonometric Functions . . . . . . . 4 7.2 Other Elementary Functions . . . . . 4 8 Vectors 4 8.1 The Colon Notation . . . . . . . . . 5 8.2 Extracting Bits of a Vector . . . . . 5 8.3 Column Vectors . . . . . . . . . . . . 5 8.4 Transposing . . . . . . . . . . . . . . 5 9 Keeping a record 6 10 Plotting Elementary Functions 6 10.1 Plotting|Titles & Labels . . . . . . 7 10.2 Grids . . . . . . . . . . . . . . . . . . 7 10.3 Line Styles & Colours . . . . . . . . 7 10.4 Multi{plots . . . . . . . . . . . . . . 7 10.5 Hold . . . . . . . . . . . . . . . . . . 7 10.6 Hard Copy . . . . . . . . . . . . . . 8 10.7 Subplot . . . . . . . . . . . . . . . . 8 10.8 Zooming . . . . . . . . . . . . . . . . 8 10.9 Formatted text on Plots . . . . . . . 8 10.10Controlling Axes . . . . . . . . . . . 9 11 Keyboard Accelerators 9 12 Copying to and from Word and other applications 10 12.1 Window Systems . . . . . . . . . . . 10 12.2 Unix Systems . . . . . . . . . . . . . 10 13 Script Files 10 14 Products, Division & Powers of Vectors 11 14.1 Scalar Product (*) . . . . . . . . . . 11 14.2 Dot Product (.*) . . . . . . . . . . . 11 14.3 Dot Division of Arrays (./) . . . . . 12 14.4 Dot Power of Arrays (.^) . . . . . . 12 15 Examples in Plotting 13 16 Matrices|Two{Dimensional Arrays 13 16.1 Size of a matrix . . . . . . . . . . . . 14 16.2 Transpose of a matrix . . . . . . . . 14 16.3 Special Matrices . . . . . . . . . . . 14 16.4 The Identity Matrix . . . . . . . . . 14 16.5 Diagonal Matrices . . . . . . . . . . 15 16.6 Building Matrices . . . . . . . . . . . 15 16.7 Tabulating Functions . . . . . . . . . 15 16.8 Extracting Bits of Matrices . . . . . 16 16.9 Dot product of matrices (.*) . . . . 16 16.10Matrix{vector products . . . . . . . 16 16.11Matrix{Matrix Products . . . . . . . 17 16.12Sparse Matrices . . . . . . . . . . . . 17 17 Systems of Linear Equations 18 17.1 Overdetermined system of linear equations . . . . . . . . . . . . . . . . . . 18 18 Characters, Strings and Text 20 19 Loops 20 20 Logicals 21 20.1 While Loops . . . . . . . . . . . . . . 22 20.2 if...then...else...end . . . . . . 23 21 Function m{ les 23 21.1 Examples of functions . . . . . . . . 24 22 Further Built{in Functions 25 22.1 Rounding Numbers . . . . . . . . . . 25 22.2 The sum Function . . . . . . . . . . . 25 22.3 max & min . . . . . . . . . . . . . . . 26 22.4 Random Numbers . . . . . . . . . . 26 22.5 find for vectors . . . . . . . . . . . . 27 22.6 find for matrices . . . . . . . . . . . 27 23 Plotting Surfaces 27 24 Timing 28 25 On{line Documentation 29 26 Reading and Writing Data Files 29 26.1 Formatted Files . . . . . . . . . . . . 30 26.2 Unformatted Files . . . . . . . . . . 30 27 Graphic User Interfaces 31 28 Command Summary 32
Update
: 2012-02-26
Size
: 856.78kb
Publisher
:
taffy320
[
Documents
]
matlab绘图的函数
DL : 0
matlab绘图函数详细介绍,包括绘制图的颜色、符号函数等。
Update
: 2012-04-27
Size
: 126.5kb
Publisher
:
guanyuqiu18@126.com
[
matlab
]
subplot
DL : 0
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
Update
: 2025-02-19
Size
: 9kb
Publisher
:
淡林
[
matlab
]
wavelift
DL : 0
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(mat2gray(y)) % see the reconstruction precision yy=wavelift(x, 5) using cdf 9/7 wavelet ix=wavelift(yy,-5) inverse sum(sum((double(x)-ix).^2)) -only temporary support jpeg2000 support cdf97 and spline53 this can be measured Examination : x = imread (E : \ study \ jpeg2000 \ images \ lena.tif)% see the d ecomposition coefficients wavelift y = (x, 1, spl53) using spline 5/3 wavelet figure subplot (1,2,1) imshow (x) subplot (1,2, 2) imshow (mat2gray (y))% see the reconstructi on precision wavelift yy = (x, 5) using cdf 9/7 wavelet ix = wavelift (yy.-5) inverse sum (sum ((double (x)- ix). ^ 2
Update
: 2025-02-19
Size
: 6kb
Publisher
:
余庆红
[
Other
]
2fdb
DL : 0
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.
Update
: 2025-02-19
Size
: 1kb
Publisher
:
saifu
[
Special Effects
]
newnethodotsu
DL : 0
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 , bold ) % end-OTSU design a new algorithm, using the method as follows: 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, bold) end
Update
: 2025-02-19
Size
: 2kb
Publisher
:
yemaoqiu
[
Documents
]
1
DL : 0
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 ) -At the command window type the following content to be the graphics: [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 (heta)
Update
: 2025-02-19
Size
: 3kb
Publisher
:
胡松林
[
matlab
]
subplot
DL : 0
Matlab绘制子图函数的使用,Matlab绘制子图函数的使用-Matlab rendering the use of subgraph function, Matlab mapping function using subgraph
Update
: 2025-02-19
Size
: 2kb
Publisher
:
expert_12345
[
Program doc
]
untitled
DL : 0
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,abs(x)) xlabel( time ) ylabel( Amplitude ) subplot(212) plot(t,angle(x- 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,abs(x)) xlabel( time ) ylabel( Amplitude ) subplot(212) plot(t,angle(x
Update
: 2025-02-19
Size
: 77kb
Publisher
:
naresh
[
matlab
]
subplot
DL : 0
显示图像,可同时显示多福图像,并可用title标注说明-subplot
Update
: 2025-02-19
Size
: 3kb
Publisher
:
qujingying
[
matlab
]
regtohsv
DL : 0
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 xlabel( (d)调整后的图像 ) -reg into the matlab source code hsv subplot (221) subimage (ph) colorbar xlabel (' (a) color component image' ) subplot (222) subimage (ps) colorbar xlabel (' (b) saturation component image ' ) subplot (223) subimage (pv) colorbar xlabel (' (c) luminance component image ' ) subplot (224) subimage (phsv) colorbar xlabel (' (d) Adjustment After the image ' )
Update
: 2025-02-19
Size
: 74kb
Publisher
:
ychy
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