MATLAB

The following fuzzy modeling exercises run in the MATLAB environment. The interaction required by the user is guided by instructions and editable fields menus. The user can change various parameters of a system, and execute modeling commands to verify the resulting system. In some exercises, it is also possible to manually edit the fuzzy system initially generated with the parameters given by the user, in order to enhance and fine tune the performance of the model.

Double Pendulum simulation and description

三个不同阻带DBR叠加的投射光谱及微腔模式计算(Superposition of three different projection DBR stop-band spectrum and micro-cavity pattern)

基于matlab环境编译的创建人脸数据库，特征提取，人脸识别源码程序，运行时识别率较高。( based on MATLAB environment， creates face database, Feature extraction ，face recognition program,having a high recognition rate)

electric motor with torque speed control

射线追踪,包含了起点和终点的射线函数，对于地震传播研究具有重要意义！(Raytracing in a v(z) world. The toolbox contains functions forshooting fans of rays and functions for tracing rays with specific start and end points. General multi-bounce rays with any number of mode conversions can be traced. Automatic routines for P-P and P-S primaries in shot-gather geometry are provided for convenience. Any recording geometry can be used but most functions vectorize (e.g. are most efficient) for shot-gather geometry. Only traveltimes and rayparameters are detemined, not amplitudes. In these routines, the velocity models should be considered as "background" models. This means that the depths at which flections and mode conversions occur are dependent of the depths given as layer boundaries in the velocity models. Velocity models are specified by a vector of velocities and a same-size vector of depths. The j th velocity is in effect from the j th to the j+1 th depth. The bottom of the model is assumed at infinite depth. Thus v=5000 and z=0 specifies a cons)

进行多项式拟合曲线和参数，给出数据和m文件(Polynomial curve fitting and parameters, given the data and m files)

多输入多输出自适应，用于参数估计，有图。(matlab adaptive program for Parameter estimation)

说明：  认知条件下干扰问题的优化，次用户对于主用户的干扰尽量减小(Cognitive interference under the conditions optimized for secondary users to minimize interference with primary users)

基于小波的图像去噪，用MATLAB实现，(Image denoising based on wavelet)