cooperative-communication

System will automatically delete the directory of debug and release, so please do not put files on these two directory

通过编写该程序，首先输入点，然后点击拟合。(Through the preparation of the program, the first input point, and then click on the fitting.)

simulink自适应噪声信号2，Matlab中的s函数(simulink adaptive noise signal 2, Matlab function of s)

VC++与Matlab混合编程的快速实现，适合vc与matlab混合编程的学习者 很有用(VC++ With Matlab programming rapid mixing for vc mixed with matlab programming learners useful)

被控对象为三阶系统，可以根据M的参数设置演示低通滤波效果，控制部分采用PID控制。(Third-order system for the controlled object, you can set the parameters according to M shows low-pass filtering effect, the control part of the PID control.)

gilbert strang book matlab code Computational Science and Engineering

根据PSO算法原理，在MATLAB中编程实现基于PSO算法的函数极值寻优算法，程序前面给出了PSO算法参数设置，种群初始化，寻找初始极值，迭代寻优，最后通过算法反复迭代300次，画出每代最优个体适应度值变化曲线，最后通过对比发现说明PSO算法具有较强的函数极值寻有能力，谢谢，希望对大家有帮助。 (According to the principle of PSO algorithm in MATLAB programming function PSO algorithm based on extreme value optimization algorithm, the preceding program gives the PSO algorithm parameter settings, population initialization, looking for initial extreme value, iterative optimization, and finally through the iterative algorithm 300 times draw the best individual fitness value of each generation curve, and finally by comparing the findings indicate that PSO algorithm has strong function extreme ability to find, thank you, we want to help.)

Ｍ＝４正交信号时数字通信系统进行蒙特卡罗仿真程序，当均值分别等于０，０.１，１.０，２．０时完成１００００个比特的仿真并求出误比特概率。绘出理论误码率和蒙特拉罗仿真的差错率并进行比较这俩个结果，并绘出每个均值情况下判决器的１０００个接受信噪比抽样(M = 4 orthogonal signals in digital communication systems Monte Carlo simulation program, when the mean, respectively, equivalent to 10,000 completed 0,0.1,1.0,2.0 simulation bit and bit error probability are obtained. Mapping theory and蒙特拉罗BER simulation这俩error rate and compare results, and the mean circumstances of each mapped)

求解高斯积分的matlab源程序包，几种高斯积分方法(Gauss integeration mathod in matlab code)

matlab files to perform toonification on images using bilateral filtering