HW5

MATLAB实现排队系统的模拟仿真，对排队过程的仿真模拟。(MATLAB realization of queuing system simulation, simulation of queuing processes.)

fuzzy applied local statistic filter

说明：  :针对遗传算法易陷入局部最优的不足,在标准遗传算法基础上加入了三个新的操作- 复原、重构和录优操作,使改 进后的遗传算法收敛于全局最优,并在此基础上以路边约束、动态避障和路径最短作为适应度函数,提出了动态避障的路径 规划方法。通过实验仿真验证了算法的有效性、准确性和实时性,并与基于以往的遗传算法的路径规划方法进行比较,结果 表明本文提出的方法在产生的路径长度和算法运行时间上都具有更优的性能。(: Genetic algorithm for the lack of easy to fall into local optimum, in the standard genetic algorithm based on the insertion of three new operations- rehabilitation, reconstruction, and excellent operational record, so that the improved genetic algorithm converges to the global optimum, and in this by the roadside on the basis of constraints, dynamic obstacle avoidance and the shortest path as the fitness function is proposed dynamic obstacle avoidance path planning method. Simulation results through experiments the effectiveness of the algorithm, accuracy and real-time, and with previous genetic algorithm based path planning method to compare the results show that the method proposed in the resulting path length and algorithms have a running time better performance.)

通过矩不变量法，判断字母是否与原字母相同(letter s distinction)

说明：  电力系统潮流计算程序主程序，还有功能子程序(power float)

This code would calculate the approximate root of any polynomial using Newton Raphson Method

粒子群优化算法的一个寻优案例,测试函数含有多个局部极值，尝试用PSO算法寻找全局极值(a case of Particle Swarm Optimization algorithm.)

说明：  大家可以参考以下 有关MATLAB图象处理的 后面有详细注释(we can refer to the following MATLAB image processing behind a detailed Notes)

基于字符轮廓与形态学处理的车牌定位算法，做图像处理及车牌定位的朋友可以看一下，本文毕业设计部分(Character-based profile and the morphological processing of license plate location algorithm to do image processing and license plate location of friends can look at this part of graduation)

对心电信号的基线消除，包含ECG信号和源代码，并在matlab中仿真，包含中值滤波，高通滤波，整系数滤波，和小波变换！都是一些简单的经典的方法(Elimination of baseline ECG, ECG signals and includes source code and simulation in matlab, including median filtering, high-pass filter, the filter with integer coefficients, and wavelet transform! Are some simple classical methods)