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PID控制电机的SUMULINK仿真程序，可直接运行。(PID control motor SUMULINK simulation program can be run directly.)

zernike矩需要用到的一些处理函数，可以直接调用，非常方便(zernike moments need to use some of the processing function can be called directly is very convenient)

一个用于车牌定位的matlab程序，目前只可用于对 蓝色车牌的定位(a positioning for the various domain registration procedures currently only can be used to position the blue license plates)

使用迁移学习和稀疏编码来实现不同领域之间的适配，是一种基于特征表示的迁移学习(This method is designed for image clustering and classification and called sparse subspace clustering.)

说明：  matlab 无约束MPC代码 实现无约束MPC控制(unconstraint MPC code)

利用matlab串口工具箱，显示飞思卡尔智能车摄像头数据，生成图像显示。程序为开发过程中的命令行下的测试样例，仅供入门。可在此框架下添加自己的功能(Use of the a matlab serial Toolbox Freescale smart car camera data, generate image display. The program for the test sample, under the command line in the development process for entry only. Can add their own functions under this framework)

matlab 控制工程 工具箱 说明与介绍(matlab toolbox describe and introduce control engineering)

MFCC参数和LPCC参数需要频繁使用的语音的说话人识别分析还需要使用大量的这些特征参数,这就需要研究MFCC和LPCC算法和参数提取的原则。因为我们需要了解与人交谈的过程中,我们要进行建模 率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为(MFCC parameters and LPCC parameters are parameters of speaker recognition which requires frequent use of voice analysis also need to use a lot of these characteristic parameters, This requires research MFCC and LPCC algorithm and the principle of parameter extraction. Because we need to understand the process of talking to people, we want to conduct a speaker modeling the perception of the human ear does not constitute a linear relationship with frequency, and prefer to logarithmic relationship, which makes the human ear is sensitive to low frequency signal is better than high frequency signal. Mel frequency is put forward in order to facilitate the ear of the study of speech perception characteristics of different frequency. For frequency and Mel frequency conversion formula)

"Magic" Reconstruction: Compressed Sensing.

基于粒子群算法分数阶PID参数整定，运行环境是matlab2007(Based on particle swarm optimization (pso) algorithm of fractional order PID parameter setting )