Settings_SystemTest

MIMO_OFDM系统中自适应功率分配的算法性能分析，很值得一看！(MIMO_OFDM adaptive power distribution system performance analysis of algorithms, it is worth a visit!)

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) )

说明：  海面3维动态场景描述，改变程序中的风速大小就能得到不同海情的海面。(Sea 3-D dynamic scene description, change the size of the program' s speed could be different sea and the sea.)

This matlab program describes the Nakagami Fading coefficient generation for a Nakagami Fading Channel. The matlab program is written in a clear way and it produces the corresponding simulation result. The same way can be applied for Rayleigh and Rician fading coefficient generation for Rayleigh and Rician fading channels.

在matlab环境下，利用ode命令求解常微分方程组的学习算例(In the matlab environment, the use of the command for solving ordinary differential equations ode to learn examples)

利用matlab软件对PID参数进行多种方式的调节整定(Using matlab software PID parameter tuning adjustment of a variety of ways)

根据耦合膜理论，计算长周期光纤光栅包层膜有效折射率(According to film theory coupled to calculate long-period fiber grating cladding effective refractive index film)

说明：  matlab教程，以网页的形式，比较简单、实例很充分，适合与初学。可以看看。(matlab tutorial to the page the form of relatively simple, examples of very good, suitable with the beginners. Can look at.)

针对初学者的simulink 的建模与仿真，详细讲述系统仿真原理(Simulink modeling and simulation for beginners, and a detailed account of the principles of system simulation)

Blobworld:基于期望最大算法的图像分割 及其在图像查询中的应用 (Blobworld: Image segmentation using Expectation-Maximization and its application to image querying)