bilateral

用matlab进行排队论仿真的经典论文，有兴趣的同学可以参考一下。(Matlab simulation carried out with the classic queuing theory papers, students who are interested can refer to.)

说明：  基于matlab的一种人脸检测算法，可以检测人脸，可以识别人脸 (face )

calc md machin trualaz zzzzeaze

几种copon波束形成的算法---MATLAB版本(Several copon beamforming algorithm--- MATLAB version)

无线通信中采用Dent模型的瑞利衰落信道产生器(Dent model used in wireless communications, Rayleigh fading channel generator)

赶火车过程仿真 一列火车从A站经过B站开往C站，某人每天赶往B站乘这趟火车。已知火车从A站到B站运行时间为均值30分钟、标准差为2分钟的正态随机变量.火车大约在下午1点离开A站。离开时刻的频率分布为 (Process simulation, a train to catch the train from A through B station station station bound for C, B Station tour someone rushed to the train every day. Known to the train station from station A to B as the average running time 30 minutes, standard deviation of 2 minutes of normal random variables. Trains leave about 1:00 pm A station. The frequency distribution for the leave time)

本程序主要通过仿真动态显示均匀平面电磁波中，磁场 Hz 的波阵面在自由空间（理想介质）中的传播。(The program primarily through dynamic simulation shows uniform plane wave, the magnetic field Hz wavefront in free space (ideal medium) in the transmission.)

风力发电系统的不控整流+buck/boost电路控制模型(mdl of wecs using uncontrolled rectifier and buck/boost cuicits)

用matlab做得叶子的图像，二维的，可以是动态的(Using matlab to do the leaves of the images, two-dimensional, it can be dynamic)

以中等纯度的精馏塔为研究对象，考虑到不等分子溢流的影响和非理想的汽液平衡，可以得到塔顶产品轻组分含量Y与回流量L之间的传递函数为： 其中由于现场环境干扰，输出带有测量噪声是（0，1）的正态分布序列，它的方差为ɑ=0.5。由于输出中带有很大的噪声信号，故将数字滤波技术中常见的低通滤波器由于偏差控制，滤掉其中的噪声信号，然后在对其进行PID计算，得到实际的控制量。在该方法在噪声较强的环境下，可以得到较好的控制效果。 控制要求： 1、 采用带低通滤波器的增量式PID将塔顶轻组分含量控制在0.99 2、 用ISTE法整定PID参数 3、 在控制过程中，到150周期加入幅度为-20 的阶跃干扰，在第300周期干扰消失。分析PID参数的抗干扰性。 (Medium-purity distillation column, taking into account ranging from molecular overflow and non-ideal vapor-liquid equilibrium, the transfer function between the light component content of the top product Y and the back flow L can be obtained as: Because the field of environmental interference, output with the measurement noise is a normal distribution (0,1) sequence, its variance ɑ = 0.5. As with a lot of noise in the output signal, it will be common in low-pass filter in the digital filtering techniques due to the bias control, filter out the noise signal, then its PID, the actual amount of control. In the strong noise environment, you can get better control effect. Control requirements: 1, using the incremental PID with a low-pass filter to the top of the tower content of light components in the 0.99 2, the method of ISTE tuning PID parameters 3, in the control process, to 150 cycles join the range of-20 step disturbance, disappearance of interference in the first 300 c)