conv_code

this code is for coverage distance

fuzzy mean for clustering in the matlab.cluster do in environment 3-dimontional.

matlab实现贝叶斯分类器，开发环境是Matlab，不过这里没有。(matlab realize the Bayesian classifier development environment Matlab, but this is no.)

各种使用simulink纯滞后系统仿真实例(Various simulation simulink delay system)

三种DOA估计的仿真图，分别是常规波束形成、MVDR和MUSIC。(Simulation Diagrams of Three DOA Estimations)

通过PID技术，可以实现在各种扰动下的风电变桨。可以有效的弃风。(Through the PID technology, can realize the wind power is analyzed.studying under various disturbances. To abandon the wind.)

有关 自相关积分的研究和讲解很实用有关 自相关积分的研究和讲解很实用(Related to the integration of research and autocorrelation explain very practical study on the autocorrelation integrals and explain very practical)

hspice toolbox interface between hspice and matlab

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.

几个控制理论的小程序，可以方便学习自动控制理论这门课(Can easily end the camera to the image transmitted matlab program for the software called.)