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this is a homw work for students to get concept

本实验要求在学生掌握模糊控制器基本工作原理和设计方法基础上，熟悉MALAB中的模糊控制工具箱，能针对实际问题设计模糊控制器，建立模糊控制系统，训练学生综合运用计算机来解决一些实际问题的能力。(This experiment requires students to master the basic working principle of the fuzzy controller design method based on MALAB familiar toolbox of fuzzy control to practical problems for the design of fuzzy controllers, fuzzy control systems, integrated use of computers to train students to solve some practical problems.)

source codes for bayes classifier

retinex算法 ，基于matlab平台的仿真程序，可以使图像增强。这是已经封装好的程序，有界面，可以直接使用。(Retinex algorithm, based on the simulation program of MATLAB platform, can enhance the image.)

这是用于处理信号的matlab语言程序。文件中包含2个程序，均可实现信号的全息谱图。(This is used to process signals in matlab language program. File contains two programs, may realize the holographic signal spectrum.)

修改过的较为简单易懂的代码，encode代码为一个单独的循环编码，可根据需要修改采用，前边几个为一个完整的H、G矩阵生成代码，及校验代码，简单易懂，码长，迭代次数各种参数都可根据需要进行修改。(The modified relatively simple code, the encode code for a single cycle code, can be modified according to the need, in front of a few for a complete H, G matrix to generate the code and check code, simple and easy to understand, code length, iteration number of various kinds of parameters can be modified according to the needs of.)

MATLAB仿真，对产生的包进行分类处理。源程序(MATLAB simulation, and on the classification packets)

说明：  电力系统潮流的计算机辅助分析 本课题要求对一14节点的电力系统分别使用MATLAB和PSASP软件进行潮流计算及分析，其具体要求如下： 1）用MATLAB实现对该系统的潮流计算。需要MATLAB语言编制程序形成节点导纳矩阵、形成雅克比矩阵、用高斯消去法解修正方程式，并编写输出程序用以输出节点导纳矩阵、节点电压（包括电压的相角和幅值）、以及各支路的首端功率、末端功率和功率损耗，然后调式并在MATLAB运行环境下运行程序输出结果，再将结果制成表格。(Computer Aided Analysis of Power Flow)

说明：  SE4110GPS接收机芯片。应用于高灵敏度，低功耗GPS、AGPS、手机等等。(The SE4110L is a highly integrated GPS receiver offering high performance and low-power operation in a wide range of low-cost applications. It is particularly well-suited to mobile phone and high sensitivity L1-band GPS and A-GPS systems.)

说明：  一种快速有效、性能可靠的信号重构算法是压缩感知理论的核心部分，对于 这部分内容，许多卓有成效的研究工作正在陆续展开。从压缩感知理论提出至今， 已经出现了多种稀疏信号的重构算法。重构算法主要可以归结为三大类：贪婪算 法，凸松弛算法和组合算法。这里主要是SP算法(A fast and efficient, reliable signal reconstruction algorithm is the core of compressed sensing theory, for this part, much fruitful research work is carried out successively. From the compressed sensing theory so far, there have been many sparse signal reconstruction algorithm. Reconstruction algorithm can be summarized into three main categories: the greedy algorithm, convex relaxation algorithms and combinatorial algorithms. This algorithm is mainly SP)