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有关学习matlab的资料，对于初学的人很有帮助，希望大家能够入门(Information about learning matlab, were very helpful for beginners, I hope we can start)

SVM参数优化，网格搜索法，在应用SVM分类时用于优化SVM核函数的c,g参数(Gs SVM)

matlab code for convolutional encoder

说明：  是MATLAB 线性方程组的数值解法.... Gauss消去法.. 顺序Gauss消去法.. Gauss-Jordan消去法... 追赶法... 1 LU分解... Cholesky分解.....Jacobi迭代法..Gauss-Seidel迭代法.. 逐次超松弛迭代法... 梯度法.. 奇异值分解法... rref函数... lu函数... chol函数. mrdivide函数(MATLAB Efficient Programming Skills and Applications 25 Cases Analysis of Example Code Compression Section5)

基本的调制解调程序集(包括BPSK,QPSK,QAM,GMSK等)(Modem basic assembly (including BPSK, QPSK, QAM, GMSK, etc.))

matlab 3D绘图工具箱 十分实用 安装自己看教程(Matlab 3D graphics toolbox)

simple windows phone game

幻灯片和演示文件从记录网络研讨会“引种一个Oà Análise德Dados COM的MATLAB的aplicada一个生命科学“（“介绍在MATLAB数据分析为生命科学家“葡萄牙文）。(Slides and demo files from the recorded webinar "Introduç ã o à Análise de Dados com MATLAB aplicada a Life Science" ("Introduction to Data Analysis in MATLAB for Life Scientists" in Portuguese).)

如何用matlab实现MDP中的值迭代算法或者策略迭代法(Markov decision process value iteration algorithm value iteration)

K-S，即kolmogorov检验法，亦称拟合优度检验法。用来检验给定的一组数据是否来自分布F=F0，原理是若H0成立，则max|v/n-F0(qj)|应该很小，用手算几乎在绝大多数情况下是不可能的，通常借助统计软件，如SAS，S+等(K-S, namely Kolmogorov test, also known as goodness of fit test. It is used to test whether a given set of data comes from the distribution F=F0, and the principle is that if the H0 is set up, the max|v/n-F0 (QJ) should be very small, and the hand calculation is almost impossible in most cases, usually with the aid of statistical software, such as SAS, S+, etc.)