Adaopu

matlab高斯滤波、中值滤波、均值滤波.rar(Three mathod of matlab filtration)

zernike与patran得借口程序，编制机械软件patran的节点与matlab实现对口互接，用matlab复原分析元件，从而适合下一步数据处理即zernike波面拟合与数据分析(gram-schmidt and hosehouder algorithms, stability test procedures for the adoption of gram-schmidt algorithm hosehouder correctness of the algorithm is suitable for engineering complex operator)

时间混叠算法进行循环谱估计，信号为fsk(ta，fsk)

求解系列重型商用车的平顺性，求解结果收敛性良好。(Solving a series of heavy commercial vehicles, ride comfort, and solving the resulting convergence is good.)

用传输矩阵法计算一维光子晶体带隙受角度的影响(useTTM，calculating the effects of incident angle for PBG。)

应用于多峰值MPPT问题，采用PSO寻找最大功率点，具体实现在S-function中，仿真时建议找一个内存大的电脑用连续仿真，离散在这种仿真时容易出问题。自行读程序只需输入光伏电压电流即可实现，仿真多峰值问题时光伏板注意反并联二极管，输出为占空比，boost、隔离boost都可以使用(For multi-peak MPPT problem, PSO is used to find the maximum power point, which is realized in S-function. It is suggested that a computer with large memory be used for continuous simulation. Discrete simulation is prone to problems. The self-reading program can be realized only by inputting photovoltaic voltage and current. In the simulation of multi-peak problem, the photovoltaic board pays attention to the anti-parallel diode.)

Matlab入门,非常好的资料,对于初学者尽快熟悉运用是个不错的帮手(Matlab entry, very good information for beginners as familiar with the use is a good helper)

CODE FOR ROOT LOCUS EXPERIMENT

描述两束光波之间的干涉现象的matlab程序代码(Illustrate the two light beam interference between the matlab code)

说明：  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。(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.)