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tunningPIDbyBGPSO
一款埃及学生用Matlab编的的基于PSO的PID整定程序,使用方法详见程序注释。(Tunning of PID controller using Bacterial Foraging Orientec by Particle swarm optimization
My work has been accpepted in GECCO 2008 as Graduat Student workshop. I
have used this techique in PID tunning and i got better result thatn BG
and PSO
Author: Wael Mansour (wael192@yahoo.com)
MSc Student, Electrical Enginering Dept,
Faculty of Engineering Cairo University, Egypt)
- 2009-03-31 17:05:58下载
- 积分:1
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ch12
说明: matlab 系统仿真 实例第十二章所有例子,可以学习下;(matlab simulation examples of Chapter XII of all the examples, you can learn from the next )
- 2010-03-24 14:29:08下载
- 积分:1
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CS_OMP
详细对应数字图像处理课本上的小波变换进行了实现 直接可以使用 以及压缩传感对图像处理的应用
- 2015-03-17 19:46:58下载
- 积分:1
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peronamalik
perona malik diffusion
- 2011-06-18 14:20:47下载
- 积分:1
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jibenwanglu
用MATLAB实现BA无标度网络、小世界网络,规则网络等复杂网络中常用的基本模型的计算机仿真程序(Using MATLAB BA scale-free networks, small-world networks, rules, networks and other complex networks commonly used in the basic model of a computer simulation program)
- 2013-08-04 11:35:17下载
- 积分:1
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the-Performance-of-OFDM-Systems
相位噪声是OFDM中影响最大的一个因素,本文详细介绍了相位噪声的模型(OFDM phase noise is one of the most influential factor, This paper describes the phase noise model)
- 2011-12-12 15:26:36下载
- 积分:1
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materials3
基于PCA的人脸识别程序,内含有人脸库,非常不错的程序,适合初学者学习(PCA-based recognition program, containing someone face , very good program for beginners to learn)
- 2015-06-02 00:00:33下载
- 积分:1
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ica_ng
informax 程序,可以分离超高斯及亚高斯源,并且自带有六个源信号(informax program, you can separate super-Gaussian and sub-Gaussian source, and comes with six source signals)
- 2011-05-22 23:08:52下载
- 积分:1
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matlabsimulation
matlab通信仿真及应用实例详解,讲解matlab在通信仿真中的应用,很好的资料.(Communication and application of MATLAB simulation examples of detailed,on matlab simulation in communications applications,very good information)
- 2009-05-08 23:23:49下载
- 积分:1
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two_ray_model
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) )
- 2010-02-08 06:31:54下载
- 积分:1