acf-code

说明：  遗传算法车间调度,车间作业调度问题遗传算法 -------------------------------------------------------------------------- 输入参数列表 M 遗传进化迭代次数 N 种群规模(取偶数) Pm 变异概率 T m×n的矩阵，存储m个工件n个工序的加工时间 P 1×n的向量，n个工序中，每一个工序所具有的机床数目 输出参数列表 Zp 最优的Makespan值 Y1p 最优方案中，各工件各工序的开始时刻，可根据它绘出甘特图 Y2p 最优方案中，各工件各工序的结束时刻，可根据它绘出甘特图 Y3p 最优方案中，各工件各工序使用的机器编号 Xp 最优决策变量的值，决策变量是一个实数编码的m×n矩阵 LC1 收敛曲线1，各代最优个体适应值的记录 LC2 收敛曲线2，各代群体平均适应值的记录 最后，程序还将绘出三副图片：两条收敛曲线图和甘特图（各工件的调度时序图）(Genetic algorithm scheduling, job shop scheduling problems with genetic algorithms -------------------------------------------------------------------------- genetic evolution of the input parameter list, the number of iterations M N population size (taken even) Pm mutation probability T m × n matrix, stored m one piece n a process of processing time 1 × n vector, n a process in which each machine processes the number of Zp with the best value Y1p Optimal Makespan programs, the start time of each process the workpiece can be drawn based on its optimal solution Gantt Y2p, each time the workpiece end of the process, according to its draw Gantt Y3p optimal solution, each piece of the processes using machine code Xp optimal decision variable, decision variable is a real m × n matrix encoded LC1 convergence curve 1, the generation of the best individual record of LC2 fitness convergence curve 2, the average fitness value on behalf of groups record Finally, the program will draw three pict)

cognitive radio, GUI interface, dynamic traffic genration

线性内插器的matlab程序，调试过了 没什么问题(linear interpolation of Matlab procedures, a little too debugging problems)

研究在最佳时空信号处理情况下，连续脉冲合成孔径侧视雷达天线的方向图(study in the radiation pattern of a coherent pulsed radar station side scan at optimum processing of the observed space-time signal.)

永磁电机的矢量控制，在此基础上包含了负载转矩观测器(the load torque observer for PMSM)

Windowing, FIR filters

使用人工神经网络识别手写字符，有样本有结果，代码可运行(handwriting character recognize with NN)

比较四分量信号的不同时频分布结果,小波分析。(Compare the results of time-frequency distribution of the four components of the signal)

利用ukf或者AEKF 进行视觉跟踪，此部分代码为仿真代码(Using UKF or AEKF for visual tracking, this part of the code is a simulation code)

用于复杂网络中二分图的几种算法，包括著名的匈牙利算法等(For complex network of binary chart in several kinds of algorithm, including the famous Hungarian algorithm, etc )