DSM-QB

说明：  使用“旋轮法正比选择”、“单切点交叉”和单点突变的遗传算法(Use &quot proportional to select the roller method,&quot &quot single-cut point crossover&quot and the single point mutation in the genetic algorithm)

这是有关matlab 学习的一些技巧和程序代码的编写，其中有SIMULINK和matlab程序两部分(matlab study)

离散信道容量的迭代算法及其实现离散信道容量的迭代算法及其实现(Discrete iterative algorithm for the channel capacity and channel capacity for discrete iterative algorithm and its implementation)

采用esprit算法对采样的阵列信号进行处理，根据阵列结构上存在的关系进行估计，采用标准差的方式进行估计。esprit算法性能的好坏 (Esprit algorithm used in the sampling array signal processing, based on the relationship that exists in the array structure estimated standard deviation estimated. esprit algorithm performance is good or bad)

path planning from start point to goal point using virtual force field

用matlab编写的GUI射击小游戏，靶子图片为pp，可直接更换(Prepared using matlab GUI shooting game, the target image is pp, can be a direct replacement)

a som application, for those who are new in neural network and matlab!

这是第一版的AsymPDC工具包。用来处理PDC，gPDC和iPDC有关内容。运行环境为Matlab,并且要求至少Matlab中预装了3个工具箱：控制系统，信号处理和统计工具箱。(This is the first public release of AsympPDC package. It deals with the asymptotic statistics for PDC, gPDC and iPDC. AsympPDC runs under Matlab and is a practically self-contained except for requires routines from three Matlab toolboxes: Control System, Signal Processing, and Statistical. It is not extensively tested yet. It was partially tested under Windows, Macintosh and Linux environments with Matlab version 7.0 and higher. Please report any incompatibility to ksameshi[at]usp.br or baccala[at]lcs.poli.usp.br. Additionally for cosmetic purposes, the pdc_xplot routine uses several Matlab users contributed codes: subplot2.m (modified old version of supbplot to control spacing between subplots), shadedplot.m (developed by Dave Van Tol), suplabel.m (for label and title plotting in subplot figures, by Ben Barrowes), suptitle.m (contributed by Drea Thomas, for adding title above all subplots), and tilefigs.m (for tiling figures for simultaneous visualization, by Charles Plum))

Modeling the Stephan cooking mixer, Hardware in the loop simulation

Matlab PCA+SVM人脸识别,通过PCA和SVM算法达到人脸识别的功能。(Matlab PCA+SVM，To identify people s face.)