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Description:
function GetParam(Vx,Vy)
global gh
global gf
global gu
global gr
global gd
global gff
global gM
％global gn
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Size: 4480 |
Author: yuan |
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Description:
function GetParam(Vx,Vy)
global gh
global gf
global gu
global gr
global gd
global gff
global gM
％global gn -function GetParam (Vx, Vy) global gh global gf global gu global gr global gd global gff global gM global gn
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Size: 4096 |
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Description: 二维简单理想导体方柱在MATLAB环境下实现自动剖分，编码。自己整合方程并且求解，得到各点的场值-Simple two-dimensional perfectly conducting square cylinder in the MATLAB environment for automatic generation, coding. Their integration and for solving equations, the various points of market value
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Size: 3072 |
Author: 宋亮 |
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Description: 自适应中关于格型算法和LMS的仿真程序，用MATLAB-Adaptive grid-based on LMS algorithm and the simulation program, using MATLAB
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Size: 1024 |
Author: 刘小云 |
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Description: 根据libsvm中的grid.py改写的支持向量机回归栅格搜索算法-Grid.py According to rewrite the libsvm Support Vector Machine Regression grid search algorithm
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Size: 3072 |
Author: 海廷 |
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Description: 一个基于matlab语言的编程，可以实现对人脸的识别算法-A matlab-based programming language can be achieved on the human face recognition algorithm
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Size: 690176 |
Author: 清风怡人 |
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Description: Modelo de dos rayos de Andrea Goldsmith (figura 2.5, según expresión
2.12)
f = 0.9 frecuencia en GHz
landa = 0.3/f en m
R = -1 coeficiente de reflexión en tierra
ht = 10 altura del transmisor en m
hr = 2 altura del receptor en m
Gt = 1
Gr = 1
Pt = 1
d=10:.1:100000
phase_diff = 4*pi*ht*hr./(landa*d) aproximación
Pr = Pt*((landa/(4*pi))^2)*((abs((sqrt(Gt)./d) + (R*sqrt(Gr).*(exp(-sqrt(-1)*phase_diff)))./d)).^2)
Pr = Pt*((landa/(4*pi))^2)*(1./d).*((abs((sqrt(Gt)) + (R*sqrt(Gr).*(exp(-sqrt(-1)*phase_diff))))).^2)
figure(1), clf,
plot((d),10*log10(Pr/max(abs(Pr))))
grid
xlabel( log_1_0(d) )
ylabel( Potencia recibida (dBm) )- Modelo de dos rayos de Andrea Goldsmith (figura 2.5, según expresión
2.12)
f = 0.9 frecuencia en GHz
landa = 0.3/f en m
R = -1 coeficiente de reflexión en tierra
ht = 10 altura del transmisor en m
hr = 2 altura del receptor en m
Gt = 1
Gr = 1
Pt = 1
d=10:.1:100000
phase_diff = 4*pi*ht*hr./(landa*d) aproximación
Pr = Pt*((landa/(4*pi))^2)*((abs((sqrt(Gt)./d) + (R*sqrt(Gr).*(exp(-sqrt(-1)*phase_diff)))./d)).^2)
Pr = Pt*((landa/(4*pi))^2)*(1./d).*((abs((sqrt(Gt)) + (R*sqrt(Gr).*(exp(-sqrt(-1)*phase_diff))))).^2)
figure(1), clf,
plot((d),10*log10(Pr/max(abs(Pr))))
grid
xlabel( log_1_0(d) )
ylabel( Potencia recibida (dBm) )
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Size: 1024 |
Author: ramonmro |
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Description: 修改GNURadio中的频谱分析工具usrp_fft.py调用的C++模块gr_fft_vcc_fftw.cc，实现频谱的数据的存储，附有画图的matlab程序和实现的效果图，实现频谱数据分析需要。-Changes in the spectrum analysis tool GNURadio usrp_fft.py call C++ module gr_fft_vcc_fftw.cc, to achieve the spectrum of data storage, with a drawing program and achieve results matlab graph, the spectral data analysis needs.
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Size: 126976 |
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Description: matlab 读取气象上的grib资料，包括插件和作为例子的程序-matlab read the grib weather information, including plug-ins and the program as an example
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Size: 1208320 |
Author: 张静 |
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Description: Feature Selection using Matlab.
The DEMO includes 5 feature selection algorithms:
• Sequential Forward Selection (SFS)
• Sequential Floating Forward Selection (SFFS)
• Sequential Backward Selection (SBS)
• Sequential Floating Backward Selection (SFBS)
• ReliefF
Two CCR estimation methods:
• Cross-validation
• Resubstitution
After selecting the best feature subset, the classifier obtained can be used for classifying any pattern.
Figure: Upper panel is the pattern x feature matrix
Lower panel left are the features selected
Lower panel right is the CCR curve during feature selection steps
Right panel is the classification results of some patterns.
This software was developed using Matlab 7.5 and Windows XP.
Copyright: D. Ververidis and C.Kotropoulos
AIIA Lab, Thessaloniki, Greece,
jimver@aiia.csd.auth.gr
costas@aiia.csd.auth.gr-Feature Selection using Matlab.
The DEMO includes 5 feature selection algorithms:
• Sequential Forward Selection (SFS)
• Sequential Floating Forward Selection (SFFS)
• Sequential Backward Selection (SBS)
• Sequential Floating Backward Selection (SFBS)
• ReliefF
Two CCR estimation methods:
• Cross-validation
• Resubstitution
After selecting the best feature subset, the classifier obtained can be used for classifying any pattern.
Figure: Upper panel is the pattern x feature matrix
Lower panel left are the features selected
Lower panel right is the CCR curve during feature selection steps
Right panel is the classification results of some patterns.
This software was developed using Matlab 7.5 and Windows XP.
Copyright: D. Ververidis and C.Kotropoulos
AIIA Lab, Thessaloniki, Greece,
jimver@aiia.csd.auth.gr
costas@aiia.csd.auth.gr
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Size: 3283968 |
Author: driftinwind |
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Description: 数字减影血管造影( DSA) 通过向血管中注入造影剂, 使血管的整体影像的对比度有了明显的增强, 然后通
过造影前后图像的相减运算, 可以去除非血管器官的影像, 得到血管更清晰的图像, 目前广泛应用于心血管疾病的
诊断。由于患者的呼吸运动, 使得不同时间采集的图像相减后会产生运动伪影。为了消除运动伪影, 从医生临床上
对于心脏的运动以胸腔的横膈膜为参考目标得到启发, 首先得到很多幅注入造影剂之前的图像( 掩膜图像) 和一幅
注入造影剂之后的图像( 造影图像) , 然后指定其中的一幅掩膜图像作为参考图像, 其它的掩膜图像和那一幅造影图
像分别对参考图像求位移。基于上面求出的位移, 可以将候选图像集中到位移小于某一阈值的很少的几幅图像上,
然后在这几幅图像上应用改造过的搜索算法, 最终找到了运动伪影最小的那幅掩膜图像。该算法引入了绝对位移
和相对位移相结合的方法使减影图像中运动伪影得到明显消除。-In dig ital subtr action ang io gr aphy ( DSA) , the co nt rast of the v essels is gr eatly improv ed w ith the injectio n
of contrast medium. In addit ion, mo re clear vessels can be visualized by eliminating the imag es o f non vessel or gans,
and those imag es ar e called subtr action imag e o r DSA. Therefo re, DSA is o f w ide use for diag no sis o f car dio vascular
disease. Subtr action of imag es o bt ained befo re and after injection of contrast medium may cr eat e mo tion art ifacts due
to the aspiratio n o f pat ient s. In this reg ard, being motiv ated by the docto rs ex per ience that t he displacement of dia
phragm can be used as the reference to measur e the hear t beat, we present a method to eliminate the mot ion ar tifacts.
In o ur method, fir stly , a set of DSA imag es are taken befo re injection o f contr ast medium, w hich are called mask
images! and one imag e taken after injection o f contrast is called targ et image! . Seco
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Size: 666624 |
Author: xingxing |
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Description: GR THEORY MATLAB CODES
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Size: 34816 |
Author: reet |
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Description: GRNN in matlab
you can use this code to prediction any parameters using GR-GRNN in matlab
you can use this code to prediction any parameters using GRNN
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Size: 34816 |
Author: isa |
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Description: MATLAB图论Base程序,需要可以下载 啊啊啊啊啊(MATLAB Gr Base program)
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Size: 45056 |
Author: 数学分析 |
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Description: 你你你的繁荣范围而别人哇哇哇哇哇哇哇哇哇哇哇(you frw jig g kt gk gr db q qw)
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Size: 29696 |
Author: Jacqueline1998 |
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