ROMBERG

自适应CMA算法实现对分空间的盲均衡，仿真数据随机产生。(CMA adaptive algorithms for blind equalization of sub-space, simulation, randomly generated data.)

本程序根据训练好的网络文件ANN.mat预测新的数据文件，得到均方误差，并画出预测数据和原数据的对比图。此程序运用到了很多Matlab编程中常用到的表达方式，还有一些神经网络编程的基本概念的表达，如归一化的表达(This procedure according to the trained network file prediction ANN.mat new data file, the mean square error, and painted the original data and prediction data comparison of Fig. This procedure applied to a lot of Matlab programming to the expression commonly used, and some neural network programming the expression of the basic concepts, such as the normalized expression)

6自由度puma机器人仿真程序（其中建立图形界面）----机器人视觉伺服(6 degrees of freedom puma robot simulation program (which established a graphical interface )---- robot visual servo)

Gauss Seidal Load Flow Analysis

to check the uniformity of random numbers using runs up & down test

LDPC码的详细编解码程序，使用部分c函数接口 加速程序运行(LDPC code codec detailed procedures, use of some of the c function interface to accelerate the program to run)

Jain & Yu机遇区域的文本定位方法实现(Jain & Yu opportunities for regional implementation of text localization)

完整fast ICA算法程序，大家可以借鉴使用(integrity fast algorithm ICA procedures, we can learn from the use of)

this gives you implementation of growcut algorithm

c means functionality