Frank_gen_new

This File a matlab code about Hopfield network

SVM简单应用，最基础的SVM用法，可以入门学习。matlab m文件(SVM simple application, SVM usage is most basic, entry learning)

Compute the OFDM parameters and improve the bit rate

二元算术编码，即实现0和1 的算术编码，matlab源程序(Binary arithmetic coding, which implements the arithmetic coding 0 and 1, matlab source code)

adomian 分解法 求解非线性常微分偏微分方程 很有效(adomian decomposition method)

说明：  自己编写的信号产生和处理软件，以matlab7为平台。可以实现确定信号和非确定信号的产生，各种滤波器的设计，对信号的频谱分析，滤波后信号的频谱分析等功能。有利于信号与系统、数字信号处理相关课程的学习与理解。(themselves prepared and have the signal processing software to matlab7 platform. Determine signal can be achieved and identify signals the emergence of various filter design, the signal spectrum analysis, after filtering signals in the spectrum analysis capabilities. Help signal and systems, digital signal processing-related courses of study and understanding.)

利用moravec算子提取特征点，非常经典，基本上其他的一些特征点提取算子是在它的基础上被开发出来的(Feature extraction using moravec point operator, very classic, basically some other feature extraction operator is based on it being developed by)

Matlab code to detect MIMO signal using the zero-forcing algorithm.

Particle swarm optimization is a derivative-free global optimum search algorithm based on the collective intelligence of a large group of intercommunicating entities. The individual particles are simple and primitive, knowing only their own current locations and fitness values, their personal best locations, and the swarm s best location. Each particle continually adjusts its trajectory based this information, moving towards the global optimum with each iteration. The swarm as a whole displays a remarkable level of coherence and coordination despite the simplicity of its individual particles. The coordinated behavior of the swarm has been compared with that of a flock of birds or a school of fish.

无模型自适应控制算例代码，供初学者使用。(code for model free adaptive control, for beginner reference)