APF_Goodfd

数据统计与分析，基于matlab的函数实现，(some data statistical and data analyse in matlab ,)

基于matlab软件下的密集波分复用，小球运动模拟等(DWDM, the ball movement simulation)

自动导引车系统控制器设计与调度算法的研究。 (DESIGN OF AUTOMATIC GUIDED VEHICLE SYSTEM CONTROLLER ANDRESEARCH OF SCHEDULINGALGORITHM )

此代码为pi/4-dqpsk的调制解调算法，用MATLAB实现，采用插分解调，简单实用(pi/4-dqpsk this code for the modulation and demodulation algorithm in MATLAB, transfer took decomposition, simple and practical)

Ucsd编写的matlab的GARCH模型分析与预测。包括两个安装包和安装说明（各种matlab版本都有），很详细。主要是好多网上其他无法运行，这个步骤我刚刚试试过，可以运行，(UCSD matlab prepared the GARCH model analysis and forecast. Includes two installation package and installation instructions (there are a variety of matlab version), in great detail. Is mainly a lot of other can not run the Internet, the steps I have just had a try, you can run,)

SOR方法解线性方程组的matlab程序例子（李庆扬数值分析例子）(SOR method to solve linear equations matlab program examples (examples of numerical analysis李庆扬))

介绍了一种构建在定点DSP上的高速瑞利衰落信道仿真模型。通过应用确知性瑞利过程的理论，使得仅需要较少的低频正弦波分量以及简单的运算即可实现较高精度的信道建模；进而可采用查表法并结合TMS320C6202定点数字信号处理器的高并行性和处理能力构造高速的仿真模型(Construction of a fixed-point DSP in the high-speed Rayleigh fading channel simulation model. Through the application process unascertained Rayleigh theory, only need to make small low-frequency sine wave components and the simple operation can achieve higher accuracy Channel modeling; then use look-up table method and combination TMS320C6202 fixed-point digital signal processor parallel and can handle Construction of the high-speed simulation model)

用matlab实现的人脸识别算法Face-Recognition(Face-Recognition with matlab realise to recognise the human face.)

说明：  MATLAB m程序编程，实现PID控制中P I D三个控制参数的自动整定(Programming with MATLAB m to realize automatic tuning of PID three control parameters in PID control)

为了有效地应用遗传算法解决 鲁棒控制系统设计问题，将遗传算法与局部优化方法相结合，提出了基于降维扫描方法的自适应多目标遗传算法（DRSA-MOGA）。通过引入适应度函数标准化方法、基于最优Pareto解集搜索的降维扫描方法和适应度函数自适应调整方法，提高了算法的全局优化性能和局部搜索能力。仿真结果表明，DRSA-MOGA算法在不损失解的均匀度的情况下可以达到很高的逼近度(For effective application of genetic algorithms to solve robust control system design problems, genetic algorithms and local optimization method, based on reduced-order adaptive scanning method multi-objective genetic algorithm (DRSA-MOGA). Fitness function through the introduction of standardized methods, based on the Pareto optimal solution set of search methods and dimensionality reduction scan fitness function adaptive adjustment method, the algorithm improve the performance of global optimization and local search capabilities. The simulation results show that, DRSA-MOGA algorithm solution without loss of uniformity can be achieved under a high degree of approximation)