palm

说明：  matlab在控制系统方面的讲义，供学习参考(matlab lecture notes in control systems for the study reference)

图论算法。图论算法在计算机科学中扮演着很重要的角色，它提供了对很多问题都有效的一种简单而系统的建模方式。很多问题都可以转化为图论问题，然后用图论的基本算法加以解决。本资料包含了Floyd、prim、匈牙利算法等算法(Graph algorithms. Graph algorithms in computer science plays a very important role, it provides a lot of problems for a simple and effective way of modeling the system. Many problems can be transformed into graph theory problems, and then use the basic algorithm of graph theory to solve them. This information includes Floyd, prim, the Hungarian algorithm algorithm)

关于互相关函数的matlab程序，按照互相关函数公式编写的matlab程序(The matlab program of cross-correlation function )

说明：  分两层取两个不同速度的绕射扫描叠加偏移方法(migration code based on diffraction stack)

A nice tutorial about OFDM and its use in 802.11.

普通PID控制，本人已试过，非常好使，希望大家的支持，谢谢！(Ordinary PID control, I have tried, very so that, hope everyone' s support, thank you!)

matlab程序　信息论　算术编码及其译码程序(arthemetic)

说明：  该程序中提供了用matlab描述的有关滤波器的设计源代码(sfdgfdgfhgjhkjh)

用matlab仿真（7,4）汉明码的编码及硬判决译码过程(Matlab simulation (7,4) Hamming code encoding and hard decision decoding process)

说明：  这本书描述了MATLAB遗传算法的特性和直接搜索工具箱,编程原理和使用方法。这本书分为九章。第一章到第四章介绍了遗传算法的基本知识,包括遗传算法的基本原理、编码、选择、交叉、变异、适应度函数、控制参数、约束处理,模式定理,改进遗传算法早熟收敛问题及其预防等等。第五章到第七章介绍MATLAB遗传算法工具箱英格兰谢菲尔德谢菲尔德大学,和使用方法,如何编写这个函数的一个示例使用遗传算法工具箱解决实际优化问题的MATLAB程序。(The book describes the characteristics of MATLAB genetic algorithm and direct search toolbox, programming principle and method of use. The book is divided into nine chapters. The first chapter to the fourth chapter introduces the basic knowledge of the genetic algorithm, including the basic principle of genetic algorithm, coding, selection, crossover, mutation, fitness function, control parameters, constraints, processing, schema theorem, improved genetic algorithm premature convergence problem and its prevention and so on. Fifth chapter to the seventh chapter introduces MATLAB genetic algorithm toolbox Sheffield in England at the university of Sheffield, and use a method, an example of how to write this function using MATLAB genetic algorithm toolbox to solve practical optimization problem.)