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matlab中的贝叶斯工具箱使用说明,包含了基本函数介绍和实例教程。(GUIDE BOOK ON BAYES TOOLBOX OF MATLAB,VERY USEFUL)

Matlab中的Simulink仿真例子，可用于练习各模块的使用及功能(Matlab example)

gcv.m GCV准则。。。。。。。。。。。。。(gcv.m GCV principle....................)

一个很好用现代智能优化算法，蚁群聚类优化算法的实现过程，实现结果很好(Ant cluster implementation of algorithm is kind, nice algorithm is a very good modern intelligent optimization algorithm, ant cluster of process to realize the optimization algorithm, realize the result is good)

图像处理，在MATLAB环境下，编程，实现对人的手指的指纹的识别(Image processing, in the MATLAB environment, programming, the realization of the human finger fingerprint identification )

DDE服务器编写例程，实用DDEML类库实现，简单易用。(DDE server to prepare routines, practical implementation DDEML class, easy to use.)

本软件主要用于结构的时域试验模态分析，包括单输入单输出，单输入多输出和多输入多输出程序设计。传统的模态分析软件大多是基于频域分析方法，需首先对采样信号进行Fourier 变换。本软件使用实测时域信号，无需Fourier变换，可以避免由于信号截断而引起泄露、出现旁瓣、分辨率低等问题对辨识精度的不利影响。此外，节省了计算机运算时间，可以对实际工况状态下的结构进行在线参数识别。(This software is mainly used for the structure of time-domain experimental modal analysis, including single-input single-output, single-input multiple-output and multiple-input multiple-output programming. Traditional modal analysis software are mostly based on frequency domain analysis, needed first sampled signal Fourier transform. The software uses the measured time-domain signal without the need for Fourier transform, avoid truncated because of the signal caused by leaks, there sidelobes and low resolution of the issue of adverse effects on the identification accuracy. In addition, the savings in computing time, to the actual condition of the structure of the state-line parameter identification.)

matlab编写的一个涂胶机的仿真程序，可用于仿真和控制方法的验证，具体可参见文献"Identification and cross-directional control of coating processes"(Matlab prepared an adhesive machine simulation program can be used for simulation and control of test See specific literature, "Identification and cross-direction al control of coating processes ")

里面有关于MATLAB的基本使用的方法和定义，初学者可以好好的(There are on the basic use of MATLAB methods and definitions, can be good for beginners)

pattern recognition project in matlab