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本文详细描述了基于matlab使用多种方式对路径进行跟踪的智能车仿真。包括多种模型的建立，误差分析算法等(A detailed description of the use of a variety of ways to track the path of the smart car simulation)

MATLAB下Harris算法的角点检测(Harris corner detection algorithm under MATLAB)

本文应用SMQT和 SPLIT UP SNOW 分类器来完成对人脸的检测。(The purpose of this paper is threefold: firstly, the local Successive Mean Quantization Transform features are proposed for illumination and sensor insensitive operation in object recognition. Secondly, a split up Sparse Network of Winnows is presented to speed up the original classifier. Finally, the features and classifier are combined for the task of frontal face detection. Detection results are presented for the MIT+CMU and the BioID databases. With regard to this face detector, the Receiver Operation Characteristics curve for the BioID database yields the best published result. The result for the CMU+MIT database is comparable to state-of-the-art face detectors.)

直线阵采用切比学夫加权控制主旁瓣比，单径或多径瑞利衰落信道仿真，关于超声波倒车雷达测距的。( Linear array using cut than learning laid upon the right control of the main sidelobe ratio, Single path or multipath Rayleigh fading channel simulation, About ultrasonic parking radar ranging.)

turbo 编译码器，适用于LTE标准。 LTE标准需要100Mbps，此仿真采用并行交织译码，可以达到LTE标准(turbo encoder and decoder for LTE standard. LTE standard requires 100Mbps, the simulation mixed parallel decoding, can achieve the LTE standard)

this is an matlab version of remobval of normal noise

基于matlab的异步电机矢量控制，2010b版本下运行良好，初学有帮助。(Matlab-based induction motor vector control, 2010b versions running well, beginner help.)

pack unpacked bcd nimbers

you may experience the radar system which is utilized in ship.

MNIST手势识别数据库进行softmax回归分类，直接运行softmaxExercise.m文件即可运行。(The MNIST gesture recognition database is classified by soft Max regression and can be run directly by running the softmaxExercise. m file.)