winer

说明：  fastICA算法的处理的其中的一部分，是关于信号的(fastICA)

有关HDB3码型的编码，matlab程序(About the HDB3 code-coding, matlab program)

matlab code for mc cdma

OFDM is using for wireless technology.This source cede used to investigate mac layer of OFDM

说明：  多径瑞丽衰落信道下OFDM系统仿真多径瑞丽衰落信道下OFDM系统仿真(Ruili multipath fading channel OFDM system simulation multipath fading channel Ruili OFDM System Simulation)

自己写的基本图像处理的matlab实现,代码已经整理好在一份imageprocess.doc 的word文档里面,学习图像处理非常好用(basic picture process source code in matlab)

多目标线性规划的编程方法，算法指导,值得参考，很好用(Programming method for multi-objective linear programming algorithm guidance)

里面含有盲识别BCH码的长度的代码，用于matlAB子程序调试，很好用。(BCH code which contains the length of the blind identification code for matlAB subroutine debugging, very good use.)

In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.

This is a gui which is used to simulate FDTD 1D reflection.