Exam4_1

关于MALLAT算法的原理和程序，matlab编制(MALLAT algorithm on the principles and procedures, the preparation of Matlab)

Digital Signal Processing Using MATLAB, 3rd Edition proakis source code

说明：  雷达模拟程序，图像界面，在不同版本的MATLAB运行时需要调试。(Radar simulation program, image interface, need to be debugged in different versions of MATLAB.)

通俗易懂的介绍了matlab在使用中常见问题处理方法。对于初学者有很好帮助(Straightaway introduces matlab in use common problem processing method. For beginners has a very good help )

simulation of various cases of pf in synchronous motor

使用FPE准则，绘制不同阶数的FPE值，确定最优阶数(Using the FPE criterion, the FPE values of different orders are plotted, and the optimal order is determined)

快速傅里叶变换程序，供大家参考，matlab下运行，可以看波形(Fast Fourier transform procedures for your reference, matlab running, you can see the waveform)

说明：  数据挖掘中的c4.5算法 给予决策树(Data Mining in the given decision tree algorithm c4.5)

This work is done by someone else. I m only uploading it to share with you.

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(（Evolu2tionary Algorithm - EA）。PSO 算法属于进化算法的一种，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years ((Evolu2tionary Algorithm- EA) .PSO algorithm is an evolutionary algorithm, and similar genetic algorithm, it is also starting random solutions, through iterative search for the optimal solution, which is also uated by the quality of the fitness solution, but it is much simpler than genetic algorithms rule, it does not have the genetic algorithm cross (Crossover) and variant (Mutation) operation, which by following the current search to find the optimal value to the global optimum. the algorithm for its easy implementation, high accuracy, and fast convergence advantages attracted academic attention, and in solving practical problems demonstrated its superiority.)