BPexample01

Matlab code fdtd 2D using absourdary condictions PML.

功率电子领域matlab仿真文件，已经验证过，程序运行正常(Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

说明：  matlab计算器的示例，适合初学者学习之用．(matlab calculator example, suitable for beginners learning.)

joint adaptive modulation and user scheduling scheme

this is the selection diversity technique, used for avoiding the effects of fading.

matlab工程应用的PPT教程，适合工程人员使用(Matlab project application PPT tutorial, suitable for engineering staff to use)

matlab algoritm to DC motor PI vectorial speed control

统计信号处理不相干信号的估计，使用MUSIC算法(Estimate statistical signal processing irrelevant signals using MUSIC algorithm)

matlab命令，方便初级使用者查询命令(matlab command to facilitate the initial user query command)

The shuffled complex evolution with principal components analysis–University of California at Irvine (SP-UCI) method is a global optimization algorithm designed for high-dimensional and complex problems. It is based on the Shuffled Complex Evolution (SCE-UA) Method (by Dr. Qingyun Duan et al.), but solves a serious problem in searching over high-dimensional spaces," population degeneration". The population degeneration problem refers to the phenomenon that, when searching over the highdimensional parameter spaces, the population of the searching particles is very likely to collapse into a subspace of the parameter space, therefore losing the capability of exploring the entire parameter space. In addition, the SP-UCI method also combines the strength of shuffled complex, the Nelder-Mead simplex, and mutinormal resampling to achieve efficient and effective high-dimensional optimization.