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非平衡数据集的分类问题经常出现在许多实际应用中.支持向量机在处理这一类问题时,整体分类性能比较低.为此,Veropoulos提出的采用不同惩罚系数的改进算法可以较好的解决此类问题.此外,可以利用序列最小优化算法简单快速的解决上述优化问题.(Non-equilibrium data sets classification problems often appear in many practical applications. Support Vector Machine in dealing with this type of issue, the overall classification performance is relatively low. To this end, Veropoulos proposed punishment coefficient using different algorithms can improve the better solution such issues. In addition, can use the Sequential Minimal Optimization algorithm is simple and fast solution to the above optimization problem.)

A small Blind Source Separation example

We have added following files in matlab 1.global thresholding 2.Histogram equalization 3.low and high pass filtering 4.various masks 5.zooming 6.power law

互信息相关的一些资料和代码，比较有借鉴意义的，大家可以看一下(Mutual information related to some of the information, more reference, we can look at)

mRMR(min-redundancy max-relevance)的matlab程序(matlab program of mRMR(min-redundancy max-relevance))

说明：  LDPC编码的matlab编程 很有参考价值(LDPC coding was useful matlab programming)

说明：  高质量的OFDM仿真代码，有误码率仿真图。非常好用。(OFDM simulation of high-quality code, bit error rate simulation map. Very easy to use.)

这是一个关于MUSIC算法的程序，非常经典，一看就懂哦。(This is a program about MUSIC algorithm, very classic, a see understand oh.This is a program about MUSIC algorithm, very classic, a see understand oh.)

cholesky decomposition - matrix / vector linear system problem solving a code

可见光通信系统仿真，考虑多次反射，对应文章Improvement of data rate by using equalization(visible light communication system simulation)