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用自适应陷波器对引入单频干扰的正弦信号进行恢复，Matlab仿真程序(Used to was the single frequency interference with the introduction of the signal, matlab emulator )

说明：  模糊聚类程序，完成！matlab7.0调试通过，内含测试程序及数据！欢迎交流！(Fuzzy clustering procedure, done! matlab7.0 through debugging, testing procedures and data contained! Welcome to exchange!)

power_turbine,matlab仿真文件,电力电子、功率电子控制方面很有价值，调试通过(aspects of power_turbine, matlab simulation files, power electronics, power electronics control valuable debugging through)

对感应电机本体的基本仿真程序，用的是M语言进行的变成，易于实现！(The basic body of the induction motor simulation program, using the M language to become and easy to implement!)

实现基于Robinson算子的边缘检测功能，该算法比传统的算法具有更好的边缘检测效果(Achieve the function of edge detection based on Robinson operator, the algorithm than the traditional edge detection algorithm has a better effect)

梯度域实现色调映射 利用matlab函数实现fattal算法(Gradient Domain HDR Sourcecode)

粒子群算法(pso)标准测试函数验证程序。在一个m文件中包括了目前文献中用于验证的7个标准测试函数(Ackley等)、三维动态显示，粒子过分集中时打散等功能。旨在为学习和研究者pso算法的同仁提供一个功能较为完备、简单易懂的标准版本，对于初学者可以通过此程序快速的实现入门，以便将更多的精力投入到深层次的研究中去！同时愿与所有致力于此的朋友共同探讨pso算法的改进与应用方面(如多目标、动态系统等)的经验。(验。-PSO algorithm (PSO) standard test function verification process. M in a document, including the current literature is used to validate the seven standard test function (Ackley), 3D dynamic display, and the over-concentration of particles scatters when the function. Designed for researchers to study and colleagues at the PSO algorithm to provide a more complete functional and easily understood standard version, for beginners through this program to achieve rapid entry. in order to be more energy into depth study! While willing to work with all the friends here to discuss PSO algorithm improvements and applications (such as multi-target, Dynamic systems, etc.) experience.)

说明：  侦察无人机搭载SAR设备对区域进行覆盖搜索侦察的路径规划。(The UAV carries SAR equipment to plan the path of coverage search reconnaissance.)

关于BP网络权值-误差关系并分析作图小程序(About BP network weights- Error relationships and analyze mapping applet)

matlab针对一些给出的数据，进行模型构建并进行优化和处理，附带若干个例子(Matlab for some given data, model building and optimization and processing, with several examples)