ACP3

用matlab绘制海洋声线的程序，是水声工程专业的人必须要掌握的(Marine acoustic line drawn using matlab procedure is Acoustics Engineering professional people must master)

功能梯度粘弹性压电层状结构的压电薄膜谐振器的计算方法(Function gradient calculation sticky elastic piezoelectric thin film resonator of the piezoelectric layered structure)

线性时不变离散时间系统在时域中可以通过常系数线性差分方程来描述，冲击响应序列可以刻画其时域特性。本实验通过使用MATLAB函数研究离散时间系统的时域特性，以加深对离散时间系统的差分方程、冲激响应和系统的线性和时不变特性的理解。(The linear time-invariant discrete-time system can be described in the time domain by a linear difference equation with constant coefficients. The impulse response sequence can describe its time-domain characteristics. This experiment uses MATLAB functions to study the time domain characteristics of discrete-time systems to deepen the understanding of differential equations, impulse response, and linear and time-invariant characteristics of the system.)

说明：  一个用于matlab平台的人工免疫算法程序，可用于各种工程技术方法的仿真分析(A matlab platform for artificial immune algorithm procedure can be used for a variety of engineering and technical methods of simulation analysis)

小数据量法计算 Lyapunov 指数的 Matlab 程序 - (mex 函数，超快)(Small amount of data calculated Lyapunov index Matlab program- (mex function, ultra-fast))

实现拼图游戏功能，锻炼智力，供学习开发，了解另一种开发工具！(The realization of jigsaw puzzle function, mental exercise for the study and development, to understand another development tool!)

基于matlab的ofdm系统仿真源程序 qpsk调制与qam调制(matlab ofdm)

矢量控制的直接转矩的仿真图，使用版本matlab2010a，程序可以用(simulink of matlab)

基于pocklington方程和hallen方程的矩量法求解线天线电流分布和方向图(Based pocklington equation and hallen equation method of moments current distribution and antenna pattern)

遗传算法（Genetic Algorithm，GA）是通过对自然界中生物的遗传和优胜劣汰的进化过程进行模拟与抽象，进而形成的一种自适应全局随机优化搜索方法。遗传算法只需提供目标函数作为寻优信息，它从某一随机生成的初始群体出发，经过选择、交叉和变异等遗传操作后对个体进行适应度评价，保留适应度较强的个体遗传到子代种群中，经过多次的迭代计算求得最优个体，即问题的最优解。本程序采用遗传算法可求解微网优化运行。(Genetic Algorithm is an adaptive global by nature, genetic and biological survival of the fittest evolutionary process simulation and abstract, and thus the formation of stochastic optimization search method. Just provide genetic algorithm optimization objective function as an information, which is generated from a random initial population of departure, after genetic manipulation, such as selection, crossover and mutation of individuals fitness evaluation, retained a strong individual genetic fitness to child on behalf of the population, after several iterations of computing the optimal solution to get the optimal individual, that is the problem. This program uses a genetic algorithm to solve the optimal operation of the micro-network.)