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MDPSAS工具箱是马里兰大学开发的，基于MATLAB的一套面向对象的模块化仿真工具箱。包含半导体生产过程中的许多对象，对于研究学习是很好的指导材料。(mdpsas is a MATLAB-based set of object-oriented modular simulation tools for solving lumped and spatially distributed models generated from chemical process design and simulation problems. The framework facilitates an evolutionary approach to simulator development, starting with a simple process description and building model complexity and testing modeling hypothesis in a step-by-step manner)

ARtoolKit依赖包，以及模型。帮助初学开发者学习增强现实。(ARtoolKit source code)

此代码为一个目标跟踪程序，直接运行程序即可，此外还有其他参数的显示(This code for a target tracking program, you can run the program directly, in addition to the display of other parameters)

信号处理中参数最大似然估计的仿真程序设计(Maximum likelihood parameter estimation simulation)

Alamouti STBC coding for 2x2 mimo

这是PSO中的流程图,用于各种PSO编程,它包含了4个.与基本的程序对照起来用比较方便.(This is a flow chart of PSO, PSO for a variety of programming, which includes 4. And basic procedures were more convenient to use.)

复杂网络的matlab程序，包括bnet，nn net和nw net共8个.m文件组成。(compclex network)

此源程序基于GPS快速捕获算法的研究，包含的了三种捕获方式的matlab实现(This source code based on the GPS fast acquisition algorithm research, including the three capture methods to achieve the MATLAB)

说明：  十分经典的人工势场法，该算法能够解决机器人路径规划问题(Artificial potential field method)

对于小样本而言，SVM的仿真效果要比神经网络好，但是SVM的性能依赖于它的两个训练参数，本算法是用GA自动选择SVM的两个参数。(For small sample case, SVM simulation results than the neural network is good, but the performance of SVM depends on its two training parameters, the algorithm is automatically selected GA parameters of SVM-2.)