matlab_algorithms

LIBSVM 是台湾大学林智仁 (Chih-Jen Lin) 博士等开发设计的一个操作简单、易于使用、快速有效的通用 SVM 软件包，可以解决分类问题（包括 C- SVC 、n - SVC ）、回归问题（包括 e - SVR 、 n - SVR ）以及分布估计（ one-class-SVM ）等问题，提供了线性、多项式、径向基和 S 形函数四种常用的核函数供选择，可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。(LIBSVM is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation.)

查看星号密码的代码，比较初级，只是发送一个消息，去掉其密码属性。(View an asterisk password code, compare the primary, only to send a message, remove the password attribute.)

详细介绍了MATLBA中的COV函数的使用和作用(Introduces the use of MATLBA COV function and role )

让ARToolKit支持MQO模型的必须头文件，GLMetaseq.h(Let ARToolKit support MQO model must header files, GLMetaseq.h)

matlab图像转换，本人开发的用于路径规划算法(matlab image conversion)

wood_berry蒸馏塔的PID控制，使用matlab编程实现。(wood_berry distillation column PID control, the use of matlab programming.)

实现了数字水印和MD5值序列的嵌入以及提取，有很好的鲁棒性(MD5 realized the value of digital watermarking and embedding and extraction sequence, there is robust)

说明：  支持向量机的C++源代码包，用机器学习的方法处理优化问题，可以作为matlab的工具箱。(C++ code for proceeding SVM problems！)

这是用itpp库编写的卷积码的解码程序。由于用C++库和Intel的MKL库，所以速度飞快。同样的仿真点数， Matlab2012下用了15分半钟，而这个程序仿真只用了半分钟，相当于是matlab速度的30多倍。(This is itpp prepared for the convolutional code decoding process. Because with C++ libraries and Intel' s MKL library, so fast. The same simulation points under Matlab2012 spent 15 and a half minutes, and this program simulation with only half a minute, the equivalent of 30 times the speed of matlab.)

利用交又我们有可能由父代个体在子代组合成具有更高适合度的个体。(For this part, you are allowed 30 minutes to write a composition on the topic Why Do People Like to Buy Lotteries?)