UTVExpPack

声音反射的实现，文档里附有运行的图样，即声音反射的波形(voice reflected the realization documentation is enclosed operation of the drawings, that is reflective of the voice waveform)

包含飞行器飞行中的姿态控制，如侧滑角，倾斜角，滚转角，俯仰角，可以广泛的应用于数据预测及数据分析,相参脉冲串复调制信号。( It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pitch angle, Can be widely used in data analysis and forecast data, Complex modulation coherent pulse train signal.)

this is a matlab SVM example

模糊C均值聚类算法工具箱 总有一种程序适合你(Fuzzy C-means clustering algorithm toolbox there a program for you)

Dc Converter Brushless motor

经过调试的svm分类程序，很好用，对初学者很有帮助。(After commissioning of the svm classification procedures, useful, useful for beginners.)

在matlab中，检测出人脸，该文件包括文章和代码(FACE DETECTION USING LOCAL SMQT FEATURES AND SPLIT UP SNOWCLASSIFIER)

MATLAB Simulation仿真文件，齿轮传动的仿真，使用SimMechanics工具箱(MATLAB Simulation simulation files, gear simulation, using SimMechanics Toolbox)

Optical Fibre Toolbox

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.