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laminarflow
How the laminar flow structure through the pipes ways
- 2010-08-03 00:48:27下载
- 积分：1
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spctr
consider the power and spectrum
- 2009-04-20 15:56:10下载
- 积分：1
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hw2_code
non-parametric identification
- 2009-12-16 17:12:31下载
- 积分：1
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C-MEX-S-function
C MEX S-function的一般格式，用c语言形式编写(C MEX S-function of general form, the form of written language with c)
- 2011-06-27 10:29:05下载
- 积分：1
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band-pass-filter-by-remez-function
用MATLAB中remez函数设计一带通FIR滤波器。打印出单位脉冲响应 ，并画出幅频响应。(Design using MATLAB function in the vicinity of remez pass FIR filter. Print out the unit impulse response and frequency response plot.)
- 2012-01-29 15:50:11下载
- 积分：1
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Texture-Segmentation
在不同纹理背景下对带钢表面的缺陷进行准确的检测(Under the background in different texture to the strip surface defects in accurate detection)
- 2021-03-03 20:29:33下载
- 积分：1
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(径向基函数)神经网络能够逼近任意的非线性函数RBF
说明： (径向基函数)神经网络能够逼近任意的非线性函数，可以处理系统内的难以解析的规律性，具有良好的泛化能力，并有很快的学习收敛速度，已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等(rmf netural network matlab)
- 2019-01-14 16:16:51下载
- 积分：1
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MATLAB7_0
说明： 对初学MATLAB的同学有极大的帮助，本书实例较多可以更好的掌握(MATLAB beginner students to the great help, this book can better grasp the larger examples)
- 2010-04-20 23:40:16下载
- 积分：1
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fractal
matlab程序画图，常见分形图，function cantor(A,B)
c=1
p=0
figure
hold on
plot([A(2) B(2)],[A(1) B(1)], r* )
while norm(A(1,:)-B(1,:))>=1
C=[] D=[]
for i=1:size(A,1)
a=A(i,:)+(B(i,:)-A(i,:))/3
b=A(i,:)+2*(B(i,:)-A(i,:))/3
C=[C A(i,:) b]
D=[D a B(i,:)]
end
A=C
B=D
p=p+1 (matlab program drawing, common fractal images
function cantor(A,B)
c=1
p=0
figure
hold on
plot([A(2) B(2)],[A(1) B(1)], r* )
while norm(A(1,:)-B(1,:))>=1
C=[] D=[]
for i=1:size(A,1)
a=A(i,:)+(B(i,:)-A(i,:))/3
b=A(i,:)+2*(B(i,:)-A(i,:))/3
C=[C A(i,:) b]
D=[D a B(i,:)]
end
A=C
B=D
p=p+1 )
- 2013-03-02 09:54:38下载
- 积分：1
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src
How to use the ordinary Voronoi partition generator. The m-files also have
their own help documentation that you can view in Matlab. This code creates
a bounding polygon that is a square. Then it randomly creates 10 points
and then creates and draws the partition.
bounds = [0, 10, 10, 0 0, 0, 10, 10]
points = 10 * rand(2, 10)
regions = voronoi(bounds, points)
drawRegions(bounds, regions)
================================
This is a brief set of instructions on how to use the Multiplicatively-
weighted Voronoi partition generator.
Each of the m-files has a help section, so in Matlab you can call:
help mwvoronoi
help drawRegions
Here is an example that creates a bounding polygon, a square with side
length 10. Then it randomly creates six points with random weights.
Finally, the code draws the resulting partition.
bounds = [0, 10, 10, 0 0, 0, 10, 10]
points = 10 * rand(3, 6)
regions = mwvoronoi(bounds, points)
drawRegions(bounds, regions)
Enjoy!
- 2013-10-30 12:23:18下载
- 积分：1
