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遗传算法，能很好解决一系列不定向性问题效果很好(Genetic algorithm can solve a series of uncertain sexual problems very good results)

face detection algortithm MATlab

风速预测源代码，通过已有数据预测将来1小时的风速(wind prediction)

小规模OPF计算程序（by FX），中间给出14节点测试系统，缺点计算时间较长（初学者想下点高手的源代码学习学习）(Small-scale OPF calculation program (by FX), in the middle gives a 14-node test system, the disadvantage of longer computing time (beginners would like to point master source code to learn from))

常规PID、Smith预估补偿、改进的Smith、双控制器控制和内模的Simulink仿真图(Conventional PID, Smith, forecast compensation, the improved Smith, double control and internal model controller of Simulink simulation diagram )

说明：  NSGA2多目标优化算法，配上说明文档 NSGA-Ⅱ算法是 Srinivas 和 Deb 于 2000 年在 NSGA 的基础上提出的，它比 NSGA算法更加优越：它采用了快速非支配排序算法，计算复杂度比 NSGA 大大的降低；采用了拥挤度和拥挤度比较算子，代替了需要指定的共享半径 shareQ，并在快速排序后的同级比较中作为胜出标准，使准 Pareto 域中的个体能扩展到整个 Pareto 域，并均匀分布，保持了种群的多样性；引入了精英策略，扩大了采样空间，防止最佳个体的丢失，提高了算法的运算速度和鲁棒性。(NSGA2 multi-objective optimization algorithm, with instructions)

本程序是关于预测函数的几个程序，包括阶跃输入以及在干扰情况下的系统影响，控制效果良好，自己可以其中的参数！(This procedure is about the predictive function of several procedures, including the step input, as well as the interference situation in the system under the impact of control works well, the parameters in which they can!)

说明：  EM算法的高斯分布的MATLAB程序源码实现(EM Algorithm for Gaussian distribution of the MATLAB program source code to achieve)

信道估计,we will assume that the receiver knows your name, i.e., it knows s (and of course x). Based on this knowledge, the receiver will estimate h using the MVU and MMSE method (for the latter it is also assumed that the variance of the noise σ2 is known at the receiver).(Channel Estimation:we will assume that the receiver knows your name, i.e., it knows s (and of course x). Based on this knowledge, the receiver will estimate h using the MVU and MMSE method (for the latter it is also assumed that the variance of the noise σ2 is known at the receiver).)

利用互相关法进行单目标的时延定位，并给出仿真结果(Cross-correlation method using a single target latency positioning, and simulation results)