meilou

this matlab code calculate the input impedance and current distribution of microstrip patch antenna with coax excitation in different place.

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china pub 出版的matlab书籍，扫描得很清楚。(matlab books, published by the china pub scan clearly.)

光线追击程序，可以对光线的传播行为进行仿真，功能强大，绘图精美，将安装包放在MATLAB子目录下并进行相应设置即可使用。(Raytracing program, you can simulate the propagation of light, powerful, beautiful graphics, the package will be installed on the MATLAB subdirectory and make the appropriate settings to use.)

本程序是mazen.O的经典论文：Performance Analysis of two-hop ralayed transmissions over rayleigh fading channels 的文章中所附的仿真图的程序，跑出的结果和文章中的附图是一样的！可以跑出里面的三张图，包括瑞利衰落下中继信道的中断概率的蒙特卡洛及公式的仿真，及选择不同的增益的性能差别曲线！ (This program is mazen.O classic paper: Performance Analysis of two-hop ralayed transmissions over rayleigh fading channels in the article accompanying the simulation of the processes, results and articles ran in the figures are the same! You can run out of the inside of the three figures, including the Monte Carlo simulation and the formula for the outage probability of Rayleigh fading relay channel, and select a different gain performance difference curves!)

当matlab计算量很大，重复独立的循环计算很多的时候，我们可以使用matlab的并行计算，这里我先试验了parfor并行计算。以下代码仅适合新版的matlab，改编自《实战matlab之并行程序设计》。(When MATLAB has a large amount of computation and a lot of repetitive computing, we can use the parallel computing of MATLAB, where I first experimented with parfor parallel computing. The following code is only suitable for the new version of MATLAB, adapted from the parallel programming of real MATLAB.)

韩国lee tea won博士的fast iva的论文以及matlab源程序 (Lee Teawon s fast independent vector analysis for convolution BSS. )

MATLAB CODE FOR POWER FLOW 2

说明：  实现bpsk在AWGN下的调制与解调，误码率计算。(psk in Rayleigh fading channel simulation model. Simulink achieve. Simulation can see Rayleigh fading channels for BPSK performance impact. And to be compared Rayleigh Channel and AWGN under BPSK performance)

利用MATLAB语言编写的运动检测程序，可以实现视频中的运动物体检测。(MATLAB language using the motion detection program that can realize video in moving object detection.)